CN108846681A - For the method for anti-counterfeit and device of woodwork, anti-fake traceability system - Google Patents
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Abstract
This application discloses a kind of method for anti-counterfeit for woodwork and devices, anti-fake traceability system.This method includes：Save the fisrt feature texture information acquired by first terminal；The second feature texture information of woodwork to be identified is acquired by second terminal；And by comparing the second feature texture information and fisrt feature texture information, judge the true and false of the woodwork to be identified.Present application addresses the technical problems that woodwork antifalse effect is poor.For the method for anti-counterfeit of woodwork by the feature texture information that is randomly generated in woodwork in the application, counterfeiter is unable to control the grain of wood in used woodwork, and then anti-fake rank reaches can not replicate rank.In addition, the application does not need to have the customer devotion research and development cost of anti-fake demand, varies without existing production technology of the package or label yet.
Description
Technical field
This application involves computer picture recognition field, in particular to a kind of method for anti-counterfeit for woodwork and
Device, anti-fake traceability system.
Background technique
It is anti-fake to woodwork, identify when, rely primarily on label outer patch mode.The usually meeting when woodwork produces or dispatches from the factory
Carry out label outer patch.
If woodwork counterfeit cost is low inventors have found that being directed to the mode of label outer patch at present, the woodwork of personation compared with
More, label anti-counterfeit mode is easy to be imitated.Buyer's subjective experience is relied on when further, to woodwork identification, identification, can not be provided
Objective judgment criteria.
For the problem that woodwork antifalse effect in the related technology is poor, currently no effective solution has been proposed.
Summary of the invention
The main purpose of the application is to provide a kind of method for anti-counterfeit for woodwork, to solve woodwork antifalse effect
Poor problem.
To achieve the goals above, according to the one aspect of the application, a kind of method for anti-counterfeit for woodwork is provided.
Include according to the method for anti-counterfeit for woodwork of the application：Save the fisrt feature line acquired by first terminal
Manage information；The second feature texture information of woodwork to be identified is acquired by second terminal；And it is special by comparing described second
Texture information and fisrt feature texture information are levied, judges the true and false of the woodwork to be identified.
Further, saving the fisrt feature texture information acquired by first terminal includes：Pass through the life in woodwork
The first texture template image of multiple first terminal acquisition woodworks is disposed in producing line；It is write in advance according to each first terminal
The image recognition program entered identifies whether first texture template image meets default characteristic condition；And if according to each
The image recognition program that the first terminal is previously written identifies that first texture template image meets default characteristic condition, then
It is stored after converting digital information for first texture template image；Wherein, the first terminal is configured with access
Address.
Further, include by the second feature texture information that second terminal acquires woodwork to be identified：Described
Two terminals install identification application in advance；The second texture template image of woodwork to be identified is acquired according to the identification application；It is logical
It crosses the identification application and adopts and judge whether second texture template image meets default treatment conditions；If passing through the identification
Judge that second texture template image meets default treatment conditions using adopting, then uploads described second by identification application
Texture template image is simultaneously converted into digital information；Wherein, the identification application of the second terminal is configured with unique identity.
Further, by comparing the second feature texture information and fisrt feature texture information, judgement is described wait reflect
The true and false of other woodwork includes：The fisrt feature texture information is uploaded to sample database by the first terminal；Pass through
The second terminal synchronizes the second feature texture information to differentiating server；According to differentiation server comparison described the
The similarity of two feature texture information and the fisrt feature texture information；If the second feature texture information and described the
The similarity of one feature texture information meets default criterion, then the woodwork to be identified that breaks is genuine piece；Wherein, described
One feature texture information is used to be used as target number sample, and the second feature texture information is used to be used as target signature region.
Further, the first terminal is configured as：First image capture module and the first sending module, described first
Image capture module is used to acquire the default woodwork image information on wood generation line；First sending module is for uploading institute
State default woodwork image information；The second terminal is configured as：Second image capture module, picture recognition module and and
Second sending module, second image capture module are used to acquire the real-time image information of woodwork；Described image identifies mould
Whether the real-time image information meets identification requirement to block for identification；Second sending module is required for that will meet identification
Image information be uploaded to differentiation server.
To achieve the goals above, according to the another aspect of the application, a kind of false proof device for woodwork is provided.
Include according to the false proof device for woodwork of the application：Preserving module is adopted for saving by first terminal
The fisrt feature texture information of collection；Acquisition module, for acquiring the second feature texture of woodwork to be identified by second terminal
Information；And judgment module, the second feature texture information and fisrt feature texture information are compared for passing through, described in judgement
The true and false of woodwork to be identified.
Further, the preserving module includes：Deployment unit, for multiple by being disposed on the production line of woodwork
First texture template image of first terminal acquisition woodwork；Recognition unit, for being write in advance according to each first terminal
The image recognition program entered identifies whether first texture template image meets default characteristic condition；And first processing it is single
Member, if identifying that first texture template image meets according to the image recognition program that each first terminal is previously written
Default characteristic condition, then store after converting digital information for first texture template image；Wherein, the first terminal quilt
Configured with access address.
Further, the acquisition module includes：Deployment unit is answered for installing identification in advance in the second terminal
With；Discriminating unit, for acquiring the second texture template image of woodwork to be identified according to the identification application；First judgement is single
Member judges whether second texture template image meets default treatment conditions for adopting by identification application；At second
Unit is managed, when judging that second texture template image meets default treatment conditions for adopting by identification application, is passed through
The identification application uploads second texture template image and is converted into digital information；Wherein, the identification of the second terminal
Using being configured with unique identity.
Further, the judgment module includes：First uploading unit, for uploading described the by the first terminal
One feature texture information is to sample database；Second uploading unit, for synchronizing the second feature by the second terminal
Texture information is to differentiating server；Similarity calculated, for comparing the second feature line according to the differentiation server
Manage the similarity of information and the fisrt feature texture information；Second judgment unit, if the second feature texture information with
The similarity of the fisrt feature texture information meets default criterion, then the woodwork to be identified that breaks is genuine piece；Wherein,
The fisrt feature texture information is used to be used as target number sample, and the second feature texture information is used to be used as target signature
Region.
To achieve the goals above, according to the another aspect of the application, the anti-fake traceability system for woodwork is provided,
Including：Collection terminal and client, the collection terminal are used to be deployed in the production line of woodwork, and the client with terminal for tying up
Determine and pass through the real-time texture information that terminal acquires woodwork to be identified；The collection terminal is used for collecting sample texture information；With
And the client, for identifying the true and false of the woodwork to be identified according to the sample texture information.
In the embodiment of the present application, by the way of saving the fisrt feature texture information acquired by first terminal, lead to
The second feature texture information that second terminal acquires woodwork to be identified is crossed, has been reached by comparing the second feature texture letter
Breath and fisrt feature texture information, judge the purpose of the true and false of the woodwork to be identified, to realize quick, accurate, high
The technical effect of anti-counterfeit recognition is imitated, and then solves the poor technical problem of woodwork antifalse effect.
Detailed description of the invention
The attached drawing constituted part of this application is used to provide further understanding of the present application, so that the application's is other
Feature, objects and advantages become more apparent upon.The illustrative examples attached drawing and its explanation of the application is for explaining the application, not
Constitute the improper restriction to the application.In the accompanying drawings：
Fig. 1 is the method for anti-counterfeit schematic diagram for woodwork according to the application first embodiment；
Fig. 2 is the method for anti-counterfeit schematic diagram for woodwork according to the application second embodiment；
Fig. 3 is the method for anti-counterfeit schematic diagram for woodwork according to the application 3rd embodiment；
Fig. 4 is the method for anti-counterfeit schematic diagram for woodwork according to the application fourth embodiment；
Fig. 5 is the method for anti-counterfeit schematic diagram for woodwork according to the 5th embodiment of the application；
Fig. 6 is the false proof device schematic diagram for woodwork according to the application first embodiment；
Fig. 7 is the false proof device schematic diagram for woodwork according to the application second embodiment；
Fig. 8 is the false proof device schematic diagram for woodwork according to the application 3rd embodiment；
Fig. 9 is the false proof device schematic diagram for woodwork according to the application fourth embodiment；And
Figure 10 is the anti-fake traceability system schematic diagram according to the embodiment of the present application.
Specific embodiment
In order to make those skilled in the art more fully understand application scheme, below in conjunction in the embodiment of the present application
Attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is only
The embodiment of the application a part, instead of all the embodiments.Based on the embodiment in the application, ordinary skill people
Member's every other embodiment obtained without making creative work, all should belong to the model of the application protection
It encloses.
It should be noted that the description and claims of this application and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to embodiments herein described herein.In addition, term " includes " and " tool
Have " and their any deformation, it is intended that cover it is non-exclusive include, for example, containing a series of steps or units
Process, method, system, product or equipment those of are not necessarily limited to be clearly listed step or unit, but may include without clear
Other step or units listing to Chu or intrinsic for these process, methods, product or equipment.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Pass through the feature texture information being randomly generated in woodwork, counterfeiter for the method for anti-counterfeit of woodwork in the application
The grain of wood being unable to control in used woodwork, and then anti-fake rank reaches can not replicate rank.Meanwhile the present processes
By comparing the second feature texture information and fisrt feature texture information, that is, it can determine whether the true of the woodwork to be identified
Puppet does not need to have the customer devotion research and development cost of anti-fake demand, varies without existing production technology of the package or label yet.
In addition, the method for anti-counterfeit verification process of the application is simple, it can verify that before purchase and obtain woodwork to be identified
The true and false proof.
As shown in Figure 1, this method includes the following steps, namely S102 to step S106：
Step S102 saves the fisrt feature texture information acquired by first terminal；
The unique identity that feature texture information is possessed for each woodwork.It is by those unique identities
Unique features can obtain unique corresponding woodwork.
First terminal can be camera, mobile phone, scanner, camera or the terminal with acquisition function.
By the way that first terminal to be deployed in the production line finished product shipment position of woodwork, feature texture letter can be collected
Breath.
Feature can also can be collected by the way that first terminal to be deployed in the production line key node position of woodwork
Texture information.
Feature line can also can be collected by the way that first terminal to be deployed in the quality inspection position of the production line of woodwork
Manage information.
Saving fisrt feature texture information can save into the database of local server.It can be propped up under off-line state
Hold access.
For example, the quality inspection personnel on assembly line is supported to access after saving fisrt feature texture information by offline client.
Saving fisrt feature texture information can save into the database of cloud server.It can be propped up after accessing network
Hold multiterminal access.
For example, saving fisrt feature texture information can save into the database of cloud server, and product export, buyer
Or seller can access the database of cloud server by client.
Preferably, fisrt feature texture information can be stored as sample data.
Preferably, second feature texture information is the feature line for the woodwork to be identified for acquiring and identifying in real time by terminal
Reason mark.
In addition, above-mentioned fisrt feature texture information also needs to carry out by the digitized process of image information
Storage.For example, digitized video can will be converted into after the sampled quantization of the analog image of continuous tone.Those skilled in the art can
It is illustrated, it be in database storage image and by handling image on computers, it is necessary to true image first be passed through digitlization
It is transformed into the acceptable display of computer and storage format, is then analyzed and processed again with computer.The digitlization of image
Process mainly divides the process of sampling, quantization and coding.
Step S104 acquires the second feature texture information of woodwork to be identified by second terminal；
The feature texture information of woodwork to be identified is acquired by second terminal.Second terminal can be intelligent movable end
End, and have the function of Image Acquisition and calculation processing.Feature texture information is the unique identity of woodwork, is whether being gone out
Factory all can completely retain during selling.
For example, camera function of the user by intelligent terminal, acquires the feature texture information in woodwork to be identified.
Step S106, by comparing the second feature texture information and fisrt feature texture information, judgement is described wait reflect
The true and false of other woodwork.
Comparing second feature texture information and fisrt feature texture information can locally complete or carried out by cloud
Distributed treatment supports multi-user's concurrent access.
Preferably, image recognition algorithm is written in can configuring in second terminal, identifies grain of wood unique features figure
Picture, by can rapidly realize the Antiforge inquiry of woodwork for the comparison in grain of wood unique features image and sample database.
It can be seen from the above description that the application realizes following technical effect：
In the embodiment of the present application, by the way of saving the fisrt feature texture information acquired by first terminal, lead to
The second feature texture information that second terminal acquires woodwork to be identified is crossed, has been reached by comparing the second feature texture letter
Breath and fisrt feature texture information, judge the purpose of the true and false of the woodwork to be identified, to realize quick, accurate, high
The technical effect of anti-counterfeit recognition is imitated, and then solves the poor technical problem of woodwork antifalse effect.
According to the embodiment of the present application, as preferred in the present embodiment, as shown in Fig. 2, saving through first terminal acquisition
Fisrt feature texture information include：
Step S202 acquires the first texture spy of woodwork by disposing multiple first terminals on the production line of woodwork
Levy image；
The first terminal is configured with access address.
For example, first terminal can be accessed by network ip address.
For another example, first terminal can be accessed by device mac address.
For another example, first terminal can be accessed by bus address.
Specifically, target area can be detected, acquired.The first texture template image collected is needed into one
Step carries out textural characteristics identification.
Step S204 identifies that first texture is special according to the image recognition program that each first terminal is previously written
Whether sign image meets default characteristic condition；
Specifically, multiple first terminals can be disposed on the production line of woodwork for acquiring the first texture of woodwork
Characteristic image, the associated picture recognizer or target detection for needing to be previously written woodwork when disposing multiple first terminals are calculated
Method can extract the first texture template image of woodwork.
In some embodiments, edge detection algorithm can be used.
In some embodiments, Sobel operator edge detection or Canny operator edge detection can be used.
Step S206, if identifying first line according to the image recognition program that each first terminal is previously written
It manages characteristic image and meets default characteristic condition, then stored after converting digital information for first texture template image；
If meeting preset characteristic condition, stored after converting digital information for the first texture template image.
Preferably, first texture template image can also be converted to after digital information further according to each described first
The image recognition program that terminal is previously written identifies that first texture template image meets default characteristic condition.
According to the embodiment of the present application, as preferred in the present embodiment, as shown in figure 3, being acquired by second terminal wait reflect
The second feature texture information of other woodwork includes：
Step S302 installs identification application in the second terminal in advance；
The identification application of the second terminal is configured with unique identity.
The product ID of the identification application of the second terminal can be bound when using for the first time with second terminal.
For example, second terminal after barcode scanning with the product ID of identification application by that can bind.
Identification application can be computer applied algorithm, be also possible to web terminal application program, can application can call
Program Interfaces.
For example, identification application is cell phone application.
For another example, identification application is H5 small routine.
For another example, identification application is anti-counterfeit recognition api interface.
Step S304 acquires the second texture template image of woodwork to be identified according to the identification application；
The second texture template image can be collected according to the identification application.
For example, after woodwork to be identified is put into the effective scanning region of terminal, it can be according to pre- by identification application
If target area acquire out texture template image.
Step S306 is adopted by identification application and is judged whether second texture template image meets default processing item
Part；
It can also judge whether the second texture template image meets default treatment conditions by the identification application.
For example, whether brightness of image is suitable, whether image size is suitable, and whether color of image is suitable, and whether picture position
Properly.
Step S308 judges that second texture template image meets default processing item if adopted by identification application
Part then uploads second texture template image by identification application and is converted into digital information.
If identification application is adopted judge that second texture template image meets default treatment conditions after, answered by identifying
With the second texture template image of upload and it is converted into digital information.
If identification application adopt judge second texture template image be unsatisfactory for preset treatment conditions after, will not again into
The operation of row conversion saves the time of operation and reduces work calculation amount.
According to the embodiment of the present application, as preferred in the present embodiment, as shown in figure 4, by comparing the second feature
Texture information and fisrt feature texture information judge that the true and false of the woodwork to be identified includes：
Step S402 uploads the fisrt feature texture information to sample database by the first terminal；
The fisrt feature texture information is used to be used as target number sample.
It can be using acquisition characteristics texture information as target number sample when product carries out factory or quality inspection.
It can also be using acquisition characteristics texture information as target number sample in the production line of product.
Meanwhile database can continuous iteration carry out the regular or real-time update of texture template image.
For example, selection updates a target number sample after often producing a batch of woodwork.
For another example, it often produces a batch of woodwork and there is selection after order schedule to update a target number sample.
Step S404 synchronizes the second feature texture information to differentiating server by the second terminal；
The second feature texture information is used to be used as target signature region.
Second terminal can keep long link when synchronous.
Judge that server is used to that sample characteristics image and target signature region to be compared, and returns to comparing result.
Step S406 compares the second feature texture information and the fisrt feature texture according to the differentiation server
The similarity of information；
By differentiating that the pre-set image Similarity algorithm on server can calculate second feature texture information and described the
The similarity of one feature texture information, by second feature texture information and target fisrt feature texture information to being compared,
Comparing result can be quickly obtained.
Step S408, if the similarity of the second feature texture information and the fisrt feature texture information meets in advance
If criterion, then the woodwork to be identified that breaks is genuine piece；
It can if the similarity of second feature texture information and the fisrt feature texture information meets default criterion
To be, confidence level.
It can if the similarity of second feature texture information and the fisrt feature texture information meets default criterion
To be, weight score.
According to the embodiment of the present application, as preferred in the present embodiment, as shown in figure 5, the first terminal is configured as：
First image capture module and the first sending module,
Step S502, the first image acquisition module are used to acquire the default woodwork image information on wood generation line；
First image capture module can acquire wood and generate on line after obtaining the camera of terminal, address access authority
Default woodwork image information.
Step S504, first sending module is for uploading the default woodwork image information；
First sending module can be the module with network access facility, and network can be Intranet or outer net.When connecing
When entering outer net, the more of multiple client can be supported concurrently to access.When accessing Intranet, more clients in local area network can be supported
The concurrently access at end.
The second terminal is configured as：Second image capture module, picture recognition module and with the second sending module,
Step S506, second image capture module are used to acquire the real-time image information of woodwork；
Second image capture module can acquire the reality of woodwork after obtaining the camera of terminal, address access authority
When image information.
Step S508, whether the real-time image information meets identification requirement to described image identification module for identification；
Identification module can be written into image recognition algorithm in local or cloud, identification module.
For example, edge detection algorithm is written in identification module.
Step S510, second sending module are used to meet the image information that identification requires and are uploaded to differentiation service
Device.
Second sending module is uploaded to differentiation server for the image information that identification requires is met.Wherein, it needs by figure
It can be transmitted or be compared by computer after the digitized process of picture.
It should be noted that step shown in the flowchart of the accompanying drawings can be in such as a group of computer-executable instructions
It is executed in computer system, although also, logical order is shown in flow charts, and it in some cases, can be with not
The sequence being same as herein executes shown or described step.
According to the embodiment of the present application, additionally provide a kind of for implementing the dress of the above-mentioned method for anti-counterfeit for woodwork
It sets, as shown in fig. 6, the device includes：Preserving module 10, for saving the fisrt feature texture letter acquired by first terminal
Breath；Acquisition module 20, for acquiring the second feature texture information of woodwork to be identified by second terminal；And judgment module
30, for judging the woodwork to be identified by comparing the second feature texture information and fisrt feature texture information
The true and false.
The unique identities that feature texture information is possessed in the preserving module 10 of the embodiment of the present application for each woodwork
Mark.Unique corresponding woodwork can be obtained by those unique identity, that is, unique features.
First terminal can be camera, mobile phone, scanner, camera or the terminal with acquisition function.
By the way that first terminal to be deployed in the production line finished product shipment position of woodwork, feature texture letter can be collected
Breath.
Feature can also can be collected by the way that first terminal to be deployed in the production line key node position of woodwork
Texture information.
Feature line can also can be collected by the way that first terminal to be deployed in the quality inspection position of the production line of woodwork
Manage information.
Saving fisrt feature texture information can save into the database of local server.It can be propped up under off-line state
Hold access.
For example, the quality inspection personnel on assembly line is supported to access after saving fisrt feature texture information by offline client.
Saving fisrt feature texture information can save into the database of cloud server.It can be propped up after accessing network
Hold multiterminal access.
For example, saving fisrt feature texture information can save into the database of cloud server, and product export, buyer
Or seller can access the database of cloud server by client.
Preferably, fisrt feature texture information can be stored as sample data.
Preferably, second feature texture information is the feature line for the woodwork to be identified for acquiring and identifying in real time by terminal
Reason mark.
In addition, above-mentioned fisrt feature texture information also needs to carry out by the digitized process of image information
Storage.For example, digitized video can will be converted into after the sampled quantization of the analog image of continuous tone.Those skilled in the art can
It is illustrated, it be in database storage image and by handling image on computers, it is necessary to true image first be passed through digitlization
It is transformed into the acceptable display of computer and storage format, is then analyzed and processed again with computer.The digitlization of image
Process mainly divides the process of sampling, quantization and coding.
The feature texture information of woodwork to be identified is acquired in the acquisition module 20 of the embodiment of the present application by second terminal.
Second terminal can be mobile intelligent terminal, and have the function of Image Acquisition and calculation processing.Feature texture information is woodwork
Unique identity, whether all can completely retain during dispatching from the factory or selling.
For example, camera function of the user by intelligent terminal, acquires the feature texture information in woodwork to be identified.
Second feature texture information and fisrt feature texture information are compared in the judgment module 30 of the embodiment of the present application can be with
It locally completes or distributed treatment is carried out by cloud, supporting multi-user's concurrent access.
Preferably, image recognition algorithm is written in can configuring in second terminal, identifies grain of wood unique features figure
Picture, by can rapidly realize the Antiforge inquiry of woodwork for the comparison in grain of wood unique features image and sample database.
According to the embodiment of the present application, as preferred in the present embodiment, as shown in fig. 7, the preserving module 10 includes：The
One deployment unit 101, for acquiring the first texture of woodwork by disposing multiple first terminals on the production line of woodwork
Characteristic image；Recognition unit 102, the image recognition program identification described for being previously written according to each first terminal
Whether one texture template image meets default characteristic condition；And first processing units 103, if eventually according to each described first
The image recognition program being previously written is held to identify that first texture template image meets default characteristic condition, then by described first
Texture template image stores after being converted into digital information；Wherein, the first terminal is configured with access address.
First terminal described in first deployment unit 101 of the embodiment of the present application is configured with access address.
For example, first terminal can be accessed by network ip address.
For another example, first terminal can be accessed by device mac address.
For another example, first terminal can be accessed by bus address.
Specifically, target area can be detected, acquired.The first texture template image collected is needed into one
Step carries out textural characteristics identification.
In the recognition unit 102 of the embodiment of the present application specifically, multiple first can be disposed on the production line of woodwork
Terminal is used to acquire the first texture template image of woodwork, needs to be previously written woodwork when disposing multiple first terminals
Associated picture recognizer or algorithm of target detection can extract the first texture template image of woodwork.
In some embodiments, edge detection algorithm can be used.
In some embodiments, Sobel operator edge detection or Canny operator edge detection can be used.
If meeting preset characteristic condition in the first processing units 103 of the embodiment of the present application, by the first texture spy
Sign image stores after being converted into digital information.
Preferably, first texture template image can also be converted to after digital information further according to each described first
The image recognition program that terminal is previously written identifies that first texture template image meets default characteristic condition.
According to the embodiment of the present application, as preferred in the present embodiment, as shown in figure 8, the acquisition module 20 includes：The
Two deployment units 201, for installing identification application in advance in the second terminal；Discriminating unit 202, for according to the identification
Using the second texture template image for acquiring woodwork to be identified；First judging unit 203, for being adopted by identification application
Judge whether second texture template image meets default treatment conditions；The second processing unit 204, for passing through the identification
Using adopt judge that second texture template image meets default treatment conditions when, pass through identification application upload described second
Texture template image is simultaneously converted into digital information；Wherein, the identification application of the second terminal is configured with unique identity.
The identification application of second terminal described in second deployment unit 201 of the embodiment of the present application is configured with unique identities
Mark.
The product ID of the identification application of the second terminal can be bound when using for the first time with second terminal.
For example, second terminal after barcode scanning with the product ID of identification application by that can bind.
Identification application can be computer applied algorithm, be also possible to web terminal application program, can application can call
Program Interfaces.
For example, identification application is cell phone application.
For another example, identification application is H5 small routine.
For another example, identification application is anti-counterfeit recognition api interface.
The second textural characteristics figure can be collected according to the identification application in the discriminating unit 202 of the embodiment of the present application
Picture.
For example, after woodwork to be identified is put into the effective scanning region of terminal, it can be according to pre- by identification application
If target area acquire out texture template image.
The second textural characteristics can also be judged by the identification application in first judging unit 203 of the embodiment of the present application
Whether image meets default treatment conditions.
For example, whether brightness of image is suitable, whether image size is suitable, and whether color of image is suitable, and whether picture position
Properly.
If identification application, which is adopted, judges second texture template image in the second processing unit 204 of the embodiment of the present application
After meeting default treatment conditions, then the second texture template image is uploaded by identification application and be converted into digital information.
If identification application adopt judge second texture template image be unsatisfactory for preset treatment conditions after, will not again into
The operation of row conversion saves the time of operation and reduces work calculation amount.
According to the embodiment of the present application, as preferred in the present embodiment, as shown in figure 9, the judgment module 30 includes：The
One uploading unit 301, for uploading the fisrt feature texture information to sample database by the first terminal；On second
Leaflet member 302, for synchronizing the second feature texture information to differentiating server by the second terminal；Similarity calculation
Unit 303, for comparing the second feature texture information and the fisrt feature texture information according to the differentiation server
Similarity；Second judgment unit 304, if the second feature texture information is similar to the fisrt feature texture information
Degree meets default criterion, then the woodwork to be identified that breaks is genuine piece；Wherein, the fisrt feature texture information is for making
For target number sample, the second feature texture information is used to be used as target signature region.
Fisrt feature texture information described in first uploading unit 301 of the embodiment of the present application is used to be used as number of targets printed words
This.
It can be using acquisition characteristics texture information as target number sample when product carries out factory or quality inspection.
It can also be using acquisition characteristics texture information as target number sample in the production line of product.
Meanwhile database can continuous iteration carry out the regular or real-time update of texture template image.
For example, selection updates a target number sample after often producing a batch of woodwork.
For another example, it often produces a batch of woodwork and there is selection after order schedule to update a target number sample.
Second feature texture information described in second uploading unit 302 of the embodiment of the present application is used to be used as target signature area
Domain.
Second terminal can keep long link when synchronous.
Judge that server is used to that sample characteristics image and target signature region to be compared, and returns to comparing result.
By differentiating the pre-set image Similarity algorithm energy on server in the similarity calculated 303 of the embodiment of the present application
The similarity for enough calculating second feature texture information Yu the fisrt feature texture information, by second feature texture information with
Target fisrt feature texture information can be quickly obtained comparing result to being compared.
If second feature texture information and the fisrt feature texture in the second judgment unit 304 of the embodiment of the present application
The similarity of information, which meets default criterion, can be, confidence level.
It can if the similarity of second feature texture information and the fisrt feature texture information meets default criterion
To be, weight score.
It is the anti-fake traceability system schematic diagram according to the embodiment of the present application as shown in Figure 10, including：Collection terminal 100 and client
End 200, the collection terminal 100 are used to be deployed in the production line of woodwork, and the client 200 is for binding and passing through with terminal
Terminal acquires the real-time texture information of woodwork to be identified；The collection terminal 100 is used for collecting sample texture information；And institute
Client 200 is stated, for identifying the true and false of the woodwork to be identified according to the sample texture information.
Specifically, woodwork is acquired by disposing multiple first terminals on the production line of woodwork in collection terminal 100
The first texture template image；First texture is identified according to the image recognition program that each first terminal is previously written
Whether characteristic image meets default characteristic condition；And the if image recognition journey being previously written according to each first terminal
Sequence identifies that first texture template image meets default characteristic condition, then converts number for first texture template image
It is stored after information；Wherein, the first terminal is configured with access address.
Specifically, identification application is installed in advance in the second terminal in client 200；It is acquired according to identification application
Second texture template image of woodwork to be identified；Adopt whether judge second texture template image by identification application
Meet default treatment conditions；Judge that second texture template image meets default processing item if adopted by identification application
Part then uploads second texture template image by identification application and is converted into digital information；Wherein, described second eventually
The identification application at end is configured with unique identity.
Specifically, client 200 uploads the fisrt feature texture information to sample database by the first terminal；
The second feature texture information is synchronized to differentiating server by the second terminal；Institute is compared according to the differentiation server
State the similarity of second feature texture information Yu the fisrt feature texture information；If the second feature texture information and institute
The similarity for stating fisrt feature texture information meets default criterion, then the woodwork to be identified that breaks is genuine piece；Wherein, institute
Fisrt feature texture information is stated for as target number sample, the second feature texture information to be used for as target signature area
Domain.
Collection terminal 100 is configured as：First image capture module and the first sending module, the first image acquisition module
For acquiring the default woodwork image information on wood generation line；First sending module is for uploading the default woodwork
Image information；
Client 200 is configured as：Second image capture module, picture recognition module and with the second sending module, institute
The second image capture module is stated for acquiring the real-time image information of woodwork；The described image identification module reality for identification
When image information whether meet identification require；Second sending module is used to meet the image information that identification requires and is uploaded to
Differentiate server.
Obviously, those skilled in the art should be understood that each module of above-mentioned the application or each step can be with general
Computing device realize that they can be concentrated on a single computing device, or be distributed in multiple computing devices and formed
Network on, optionally, they can be realized with the program code that computing device can perform, it is thus possible to which they are stored
Be performed by computing device in the storage device, perhaps they are fabricated to each integrated circuit modules or by they
In multiple modules or step be fabricated to single integrated circuit module to realize.In this way, the application be not limited to it is any specific
Hardware and software combines.
The foregoing is merely preferred embodiment of the present application, are not intended to limit this application, for the skill of this field
For art personnel, various changes and changes are possible in this application.Within the spirit and principles of this application, made any to repair
Change, equivalent replacement, improvement etc., should be included within the scope of protection of this application.
Claims (10)
1. a kind of method for anti-counterfeit for woodwork, which is characterized in that including：
Save the fisrt feature texture information acquired by first terminal；
The second feature texture information of woodwork to be identified is acquired by second terminal；And
By comparing the second feature texture information and fisrt feature texture information, the true of the woodwork to be identified is judged
It is pseudo-.
2. method for anti-counterfeit according to claim 1, which is characterized in that save the fisrt feature line acquired by first terminal
Managing information includes：
The first texture template image of woodwork is acquired by disposing multiple first terminals on the production line of woodwork；
Identify whether first texture template image is full according to the image recognition program that each first terminal is previously written
The default characteristic condition of foot；And
If identifying that first texture template image is full according to the image recognition program that each first terminal is previously written
The default characteristic condition of foot, then store after converting digital information for first texture template image；
Wherein, the first terminal is configured with access address.
3. method for anti-counterfeit according to claim 1, which is characterized in that acquire the of woodwork to be identified by second terminal
Two feature texture information include：
Identification application is installed in advance in the second terminal；
The second texture template image of woodwork to be identified is acquired according to the identification application；
It is adopted by identification application and judges whether second texture template image meets default treatment conditions；
Judge that second texture template image meets default treatment conditions if adopted by identification application, by described
Identification application uploads second texture template image and is converted into digital information；
Wherein, the identification application of the second terminal is configured with unique identity.
4. method for anti-counterfeit according to claim 1, which is characterized in that by comparing the second feature texture information and the
One feature texture information judges that the true and false of the woodwork to be identified includes：
The fisrt feature texture information is uploaded to sample database by the first terminal；
The second feature texture information is synchronized to differentiating server by the second terminal；
The similarity of the second feature texture information Yu the fisrt feature texture information is compared according to the differentiation server；
If the similarity of the second feature texture information and the fisrt feature texture information meets default criterion,
The woodwork to be identified that breaks is genuine piece；
Wherein, the fisrt feature texture information is used to be used as target number sample, and the second feature texture information is for making
For target signature region.
5. method for anti-counterfeit according to claim 1, which is characterized in that the first terminal is configured as：First image is adopted
Collect module and the first sending module, the first image acquisition module, which is used to acquire the default woodwork image that wood generates on line, to be believed
Breath；First sending module is for uploading the default woodwork image information；
The second terminal is configured as：Second image capture module, picture recognition module and with the second sending module, it is described
Second image capture module is used to acquire the real-time image information of woodwork；Described image identification module is described real-time for identification
Whether image information, which meets identification, requires；Second sending module, which is used to meet the image information that identification requires and is uploaded to, to be sentenced
Other server.
6. a kind of false proof device for woodwork, which is characterized in that including：
Preserving module, for saving the fisrt feature texture information acquired by first terminal；
Acquisition module, for acquiring the second feature texture information of woodwork to be identified by second terminal；And
Judgment module, for by comparing the second feature texture information and fisrt feature texture information, judgement to be described wait reflect
The true and false of other woodwork.
7. false proof device according to claim 1, which is characterized in that the preserving module includes：
First deployment unit, for acquiring the first line of woodwork by disposing multiple first terminals on the production line of woodwork
Manage characteristic image；
Recognition unit, the image recognition program for being previously written according to each first terminal identify that first texture is special
Whether sign image meets default characteristic condition；And
First processing units, if identifying first line according to the image recognition program that each first terminal is previously written
It manages characteristic image and meets default characteristic condition, then stored after converting digital information for first texture template image；
Wherein, the first terminal is configured with access address.
8. false proof device according to claim 1, which is characterized in that the acquisition module includes：
Second deployment unit, for installing identification application in advance in the second terminal；
Discriminating unit, for acquiring the second texture template image of woodwork to be identified according to the identification application；
First judging unit judges whether second texture template image meets default place for adopting by identification application
Manage bar part；
The second processing unit judges that second texture template image meets default processing item for adopting by identification application
When part, second texture template image is uploaded by identification application and is converted into digital information；
Wherein, the identification application of the second terminal is configured with unique identity.
9. false proof device according to claim 1, which is characterized in that the judgment module includes：
First uploading unit, for uploading the fisrt feature texture information to sample database by the first terminal；
Second uploading unit, for synchronizing the second feature texture information to differentiating server by the second terminal；
Similarity calculated, for comparing the second feature texture information and first spy according to the differentiation server
Levy the similarity of texture information；
Second judgment unit, if the similarity of the second feature texture information and the fisrt feature texture information meets in advance
If criterion, then the woodwork to be identified that breaks is genuine piece；
Wherein, the fisrt feature texture information is used to be used as target number sample, and the second feature texture information is for making
For target signature region.
10. a kind of anti-fake traceability system for woodwork, which is characterized in that including：Collection terminal and client, the collection terminal
For being deployed in the production line of woodwork, the client acquires woodwork to be identified for binding with terminal and passing through terminal
Real-time texture information；
The collection terminal is used for collecting sample texture information；And
The client, for identifying the true and false of the woodwork to be identified according to the sample texture information.
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| CN201810539942.5A CN108846681A (en) | 2018-05-30 | 2018-05-30 | For the method for anti-counterfeit and device of woodwork, anti-fake traceability system |
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