KR20140087084A - Authentication server and method by using label and, mobile device - Google Patents

Abstract

An authentication server comprises a communications unit to receive a label image, which is acquired by photographing a label displayed on an article, from a mobile device; a label region extraction unit to extract a label region included in the label image based on the received label image; a code analysis unit to analyze a code of one or more dimensions included in the extracted label region; a figure pattern analysis unit to analyze a figure pattern of the extracted label region; and an authentication unit to generate authentication information corresponding to the label based on the analysis result of the code and the analysis result of the figure pattern.

Description

[0001] The present invention relates to an authentication server and method using a label and a mobile device,

An authentication server and method using labels, and a mobile device.

In recent years, consumers' perception of intellectual property rights has increased, and as genuine preference ideas have spread, the desire to check whether the goods of the store are genuine at the time of purchasing the goods has increased. Particularly, consumers who prefer luxury goods have a higher desire for validation. Consumers do not want cheap counterfeit goods or counterfeit goods to be distributed for genuine products they buy at high prices.

Traditionally, in order to prevent counterfeit goods, it has been used to attach a breakable seal to the product or use a primary means such as displaying a logo or a hologram, and there are special means or procedures Did not do it. Even if a manufacturer or a distributor operates a server that tracks the distribution of products, a dedicated terminal or sales manager is required to access the server. Korean Unexamined Patent Application Publication No. 2007-0065852 discloses a method for authenticating whether a product is authentic on-line through networking using an authentication number. However, in this method, a user directly recognizes an authentication number and authenticates It requires a troublesome incision such as entering a number.

The present invention provides an authentication method that can securely perform authentication with only a mobile device of a consumer, while ensuring strong security performance. By applying multiple security techniques to the label displayed on the article, you want to prevent counterfeiting or copying of the label. It is to be understood, however, that the technical scope of the present invention is not limited to the above-described technical problems, and other technical problems may exist.

According to an aspect of the present invention, there is provided an information processing apparatus including a communication unit for receiving a label image of a label displayed on an article from a mobile device, A code pattern analysis unit for analyzing a one-dimensional or more code included in the extracted label area, a figure pattern analysis unit for analyzing a figure pattern of the extracted label area, And an authentication unit that generates authentication information corresponding to the label based on the analysis result of the figure pattern.

According to another embodiment of the present invention, there is provided an image processing method including the steps of receiving a label image of a label displayed on an article from a mobile device, extracting a label area included in the label image based on the received label image, Analyzing a figure pattern of the extracted label area, generating authentication information corresponding to the label on the basis of the analysis result of the code and the analysis result of the figure pattern, May be provided.

According to another embodiment of the present invention, there is provided an image processing apparatus including a photographing unit photographing a label displayed on an article through a photographing apparatus, a label region extracting unit extracting a label region included in the label image based on the label image of the photographed label, A communication unit for transmitting information of the recognized code to the server and receiving analysis data corresponding to the information of the code from the server, And an authentication unit for generating authentication information corresponding to the label on the basis of the analysis result of the analysis data and the figure pattern.

According to any one of the above-mentioned means for solving the problems of the present invention, it is possible to provide an authentication method that can perform simple authentication with only a mobile device of a consumer, while ensuring a strong security performance. It is possible to prevent forgery or copying of the label by simultaneously applying a security technique using patterns of one or more bar codes and figures. By learning a simple authentication procedure for a consumer through an interlocking scenario between an authentication server and a user mobile terminal, the consumer can access to the field of activation.

1 is a configuration diagram of an authentication system according to an embodiment of the present invention.
2 is a configuration diagram of the authentication server shown in FIG.
3A to 3E show an example of a label image.
Figures 4A-4F illustrate an example of extracting a label region from a label image.
Figures 5A through 5E illustrate a method of analyzing a line pattern of a label according to an embodiment of the present invention.
6A to 6F show a method of analyzing a dot pattern according to an embodiment of the present invention.
7 is a flowchart illustrating an authentication process according to an exemplary embodiment of the present invention.
8 is a configuration diagram of the device shown in Fig.
9 is a flowchart illustrating an authentication process according to another embodiment of the present invention.
10 is a flowchart illustrating an authentication method according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when a part is referred to as being "connected" to another part, it includes not only "directly connected" but also "electrically connected" with another part in between . Also, when an element is referred to as "comprising ", it means that it can include other elements as well, without departing from the other elements unless specifically stated otherwise.

1 is a configuration diagram of an authentication system according to an embodiment of the present invention. Referring to FIG. 1, the authentication system includes an authentication server 10, a mobile device 20, and a labeled item 30.

Generally, the authentication server 10 and the mobile device 20 can be connected to each other via a network. The network refers to a connection structure in which wired or wirelessly connected information is exchanged between respective nodes such as a plurality of terminals and servers. The network includes an Internet, a LAN (Local Area Network), a Wireless Local Area Network ), A wide area network (WAN), a personal area network (PAN), a mobile radio communication network, and the like.

The authentication server 10 can receive the label image of the label 30 displayed on the article 30 from the mobile device 20 and extract the label area included in the label image based on the received label image. For example, the authentication server 10 may receive a photographic image of a label that certifies organic vegetables attached to organic vegetables from a user's smartphone and extract a label area of the received photographic image. The label region to be extracted may include a line or a pattern of a figure composed of dots, and may further include one or more dimensional bar codes such as a QR code. The label of the present invention may mean a specially printed label.

The authentication server 10 can analyze the one or more codes included in the extracted label area and analyze the figure pattern of the label area. For example, the authentication server 10 may recognize the QR code inserted in the label area, analyze the information of the QR code, and analyze patterns of lines, dots, or figures drawn in the label area.

The authentication server 10 can determine whether the article 30 corresponding to the label is authenticated or authentic based on the analysis result of the code and the pattern analysis result of the graphic form. For example, the authentication server 10 may analyze the QR code to determine whether the label or the article 30 is authentic or not based on whether the QR code includes information that is normally distributed, The graphic pattern of the label area can be analyzed to judge whether the label or the article 30 is true or false according to the number of lines, the spacing of lines, the pattern of points, and the shape of the graphic.

The authentication server 10 may generate authentication information based on at least one of a label image, device information, and a password received from the mobile device 20, and provide the generated authentication information to the mobile device 20. [ At this time, the authentication information may include at least one of the authenticity of the label, the authenticity of the article, the production history of the article, the prize information associated with the article, and the point information associated with the article. In addition, the authentication server 10 can determine whether the label image is authentic based on the device information and the password. In addition, the authentication server 10 may limit the number of authentication times of the label image or the number of times that the label image can be used for authenticity determination.

Thus, an embodiment of the present invention provides activation through label images and further enhances the security of activation since mobile device information and passwords can be utilized in activation.

The operation of the authentication server 10 will be described in detail with reference to FIG.

In another embodiment of the present invention, the mobile device 20 may determine the authenticity of the article based on the label image photographed through the mobile device 20.

The mobile device 20 may be implemented as a portable terminal capable of connecting to a remote server through a network. Here, the portable terminal is a mobile communication device that is guaranteed to be portable and mobility. For example, a portable communication terminal such as a PCS (Personal Communication System), a GSM (Global System for Mobile communication), a PDC (Personal Digital Cellular), a PHS (Personal Digital Assistant), IMT (International Mobile Telecommunication) -2000, CDMA (Code Division Multiple Access) -2000, W-CDMA (W-CDMA), Wibro (Wireless Broadband Internet) , A smart pad, a tablet PC, and the like. It should be noted that the type of mobile device 20 disclosed in FIG. 1 is merely illustrated for convenience of explanation, and the type and form of the mobile device 20 described herein are not limited to those shown in FIG.

The operation of the mobile device 20 will be described in detail with reference to FIG.

2 is a configuration diagram of the authentication server 10 shown in FIG. 2, the authentication server 10 includes a communication unit 11, a label region extraction unit 12, a code analysis unit 13, a figure pattern analysis unit 14, an authentication unit 15, a label information management unit 16 and a database 17.

The communication unit 11 receives the label image of the label 30 displayed on the article 30 from the mobile device 20. For example, the communication unit 11 can receive, from the mobile device 20, a label image including a predetermined label area photographed through the mobile device 20 such as a smart phone.

3A to 3E show an example of a label image. 3A to 3E, the label image received from the mobile device 20 is a rectangular label image including the line pattern shown in FIG. 3A, an octagonal label image including the line pattern shown in FIG. 3B, A rectangular label image including a line pattern of the border shown in Fig. 3C, a rectangular label image including a dot pattern shown in Fig. 3D, or a rectangular image including a dot pattern in some areas shown in Fig. 3E And the like. However, the label image received from the mobile device 20 is not limited to those shown above.

The label region extracting unit 12 extracts the label region included in the label image based on the received label image. At this time, the label region extracting unit 12 can recognize any one of the label regions of the square or the octagon from the label image, and extract the recognized label region from the label image. For example, the label region extracting unit 12 may extract a rectangular or octagonal label region on the label image through a marker detection algorithm.

Figures 4A-4F illustrate an example of extracting a label region from a label image. 4A shows an example of the original of the label image received from the mobile device 20. [ Referring to FIG. 4B, the label region extracting unit 12 converts the color of the label image received from the mobile device 20 into a grayscale. Referring to FIG. 4C, the label region extracting unit 12 converts the label image changed to grayscale into a binary image. Referring to FIG. 4D, the label region extracting unit 12 interpolates or corrects the label image changed to binary to display an outline and an outline. Referring to FIG. 4E, the label region extracting unit 12 recognizes a rectangular or octagonal label region having four vertices or eight vertices existing in the label image.

Referring to FIG. 4F, the label region extracting unit 12 may extract the label region by warp perspective of the recognized label region. The label region extracting unit 12 recognizes a rectangular or octagonal label region from the label image received from the mobile device 20 and extracts the label region by adjusting the perspective of the recognized label region. However, the label region extracted through the label region extracting unit 12 is not limited to the rectangular or octagonal shape exemplified above, and various types of label regions can be extracted.

The code analyzing unit 13 analyzes one or more codes included in the extracted label area. The code may be any one of a bar code as a one-dimensional code, a QR code (Quick Response Code) as a two-dimensional code, and a color code as a three-dimensional code. For example, the code analyzing unit 13 can analyze the QR code included in the label area and generate the analysis result corresponding to the QR code.

The code analyzing unit 13 generates an analysis result including at least one of information of the code, information of the item 30 corresponding to the code, and the encryption scheme of the code, from the one or more codes included in the label area, And transmit the result to the database 17.

The figure pattern analyzing unit 14 analyzes the figure pattern of the extracted label area. For example, the figure pattern analyzing unit 14 analyzes the type, the kind, and the type of the pattern of the figure included in the label area acquired from the database 17 based on the QR code analysis result of the code analyzer 13 The pattern of the figure included in the label area can be analyzed through information such as setting.

The figure pattern analyzer 14 analyzes the line pattern of the extracted label area and generates an analysis result. The line pattern means a pattern composed of a plurality of lines in the label area. The figure pattern analyzing unit 14 analyzes the shape and shape of a plurality of lines, the widths and lengths of lines, intervals between lines and lines, and generates analysis results. The analysis results are then used to authenticate the label or article. For example, if the width of the line is greater than the specified standard, or if the line-to-line spacing is larger than the specified standard, the label may be determined to be fake or copied.

Figures 5A through 5E illustrate a method of analyzing a line pattern of a label according to an embodiment of the present invention. Referring to FIG. 5A, FIG. 5A shows the label area extracted from the label image. Referring to FIG. 5B, the figure pattern analyzer 14 changes the color of the label area to a grayscale. Referring to FIG. 5C, the figure pattern analyzer 14 performs a binary conversion of the label area changed to the grayscale to clarify a plurality of lines included in the label area.

Referring to FIG. 5D, the figure pattern analyzer 14 applies a dilate filter and an erode filter to the binary-converted label region. In this case, the dilate filter emphasizes the dark portion of the label region, and the payload filter can emphasize the bright portion.

Referring to FIG. 5E, the figure pattern analyzing unit 14 blurs the background of the label area through a Gaussian blur in a label area to which the DILATE filter and the IOL filter are applied, and performs a Hough Transform The pattern of the line can be extracted over the entire area of the label area. The figure pattern analyzing unit 14 may distinguish the extracted pattern by different colors. Here, the Hough transform is for extracting a curve that can be represented by a straight line, a circle, and the like in a predetermined condition space. In general, the Hough transform is a pattern scattered over the entire image, a pattern with holes, And the like.

The figure pattern analyzing unit 14 analyzes the dot pattern of the extracted label area and generates an analysis result. A dot pattern means a pattern composed of a plurality of dots (or points) in a label area. The figure pattern analyzing unit 14 analyzes the shape and shape of a plurality of dots, a diameter and an area of the dot, an interval between dots and dots, and generates an analysis result. The analysis results are then used to authenticate the label or article. For example, if the diameter of the dot is smaller than the specified size, or if the dot-to-dot spacing is larger than the specified size, the label may be considered falsified or copied.

6A to 6F show a method of analyzing a dot pattern according to an embodiment of the present invention. Referring to FIG. 6A, FIG. 6A shows a label area including a dot pattern. The dot pattern is dotted in a matrix of 10 x 8, and can be printed at a very small size for label printing.

Referring to FIG. 6B, the figure pattern analyzer 14 changes the color of the label area to a grayscale, and converts the label area changed to grayscale to binary, thereby clarifying a plurality of points included in the label area. 6B shows a part of the dot pattern inside the label area for convenience of understanding.

Referring to FIG. 6C, the figure pattern analyzer 14 detects an outline from the binarized label area. An outline detection (FindCountours) method can be used for detecting the outline. Referring to FIG. 6D, one dot pattern is a predetermined pattern made up of points in a matrix of 10 X 8 size.

Referring to the right side of FIG. 6D, a plurality of points located at the uppermost, leftmost, and rightmost sides of the dot pattern can be used to calculate the recognition, direction, and slope of the pattern as points of the constant position. The pattern can be determined by the position of the point inside the remaining 8 X 7 matrix, which is the available position of the dot pattern. The figure pattern analyzing unit 14 can have ASCII 3 bytes and 4 bytes (about 400 million) in the recognition range.

Referring to FIG. 6E, the figure pattern analyzer 14 finds a plurality of points forming a pattern from a dot-dot pattern in which the outline of the label area is detected. Referring to FIG. 6F, the figure pattern analyzer 14 recognizes a dot pattern through a crowd pattern algorithm, recognizes each of a plurality of dot patterns based on a pattern of left and right constant positions after recognition, A dot pattern can be extracted and analyzed by excluding the points of invariant positions among each recognized dot pattern.

 In another embodiment, the figure pattern analyzer 14 may change a label area to a grayscale and perform a binary conversion to detect a predetermined figure or pattern. In this case, the figure pattern analyzer 14 can detect a figure and a pattern that are specially printed in a small size in the label area.

The authentication unit 15 authenticates the label or the item 30 corresponding to the label based on the analysis result of the code and the analysis result of the graphic pattern. In other words, the authentication unit 15 can determine whether the label 30 corresponding to the label or the article 30 is authentic based on the analysis result of the code and the analysis result of the graphic pattern.

The authentication unit 15 extracts the reference image of the code from the database 17 and compares the analysis result of the code received from the code analysis unit 13 with the reference image of the extracted code to obtain the truth Can be determined. For example, the authentication unit 15 receives from the database 17 a reference image of a code including a type of a figure to be recognized in a label area such as product information, line, point, figure pattern, And compares the QR code analysis result received from the code analysis unit 13 with each other to determine whether the corresponding QR code is a registered code, whether or not the QR code is normally encrypted, and whether or not the QR code is normally distributed It is possible to judge whether the label or the article 30 is genuine or not.

If at least one of the number of figures analyzed, the interval, the angle, the direction, and the pattern match of the figure analyzed through the figure pattern analyzing unit 14 coincide with each other, the authenticating unit 15 determines whether the article corresponding to the label or label 30) is genuine that is not copied or falsified. For example, the authentication unit 15 can determine whether the label is genuine based on the minimum number of lines, the angle, and the interval between the lines among the line patterns of the label area analyzed through the figure pattern analysis unit 14. [ In another example, the authenticating unit 15 may determine whether the authenticity is based on whether or not the dot pattern is matched, how many figures are the same as the image of the reference figure in the label area, and how accurate the accuracy is.

The communication unit 11 can transmit the article 30 and the authentication information to the mobile device 20. [ At this time, the authentication information may include at least one of the authenticity of the label, the authenticity of the article, the production history of the article, the prize information associated with the article, and the point information associated with the article. When the authentication information is the result of the determination as to whether or not the label 30 or the article 30 is authentic, the communication unit 11 determines whether the label 30 corresponding to the authentication result of the authentication unit 15, It is possible to transmit a judgment result indicating that the article 30 or the label is genuine to the article 20.

The communication unit 11 can receive a password for authentication confirmation from the mobile device 20. [ A password for authentication confirmation may be generated in the mobile device 20 and transmitted to the communication unit 11 by a key input signal from the user of the mobile device 20. [

The communication unit 11 can receive the device information from the mobile device 20. [ The device information may be information on the mobile device 20, for example, a device name of the mobile device 20, a model name, a phone number of the device, and the like.

The device information and the password received by the communication unit 11 may be stored in the database 17 together with the label.

The authentication unit 15 can determine whether the label or the item is authentic based on the device information received from the mobile device 20. [ In this case, the authentication unit 15 extracts the device information matched with the label from the database 17, and if the extracted device information matches the device information received from the mobile device 20, Can be judged to be genuine.

In addition, the authentication unit 15 can determine whether the label or the item is authentic based on the password received from the mobile device 20. [ In this case, the authentication unit 15 extracts the password matched to the label from the database, and can determine that the label or the article is genuine when the extracted password matches the password received from the mobile device 20. [ The authentication unit 15 can determine that the label has been falsified if the wrong password exceeds the predetermined number of times based on the number of times the wrong password is input.

The authentication unit 15 not only verifies the authenticity of the product information and the label on the basis of the label and provides it to the mobile device 20 but also confirms whether the device information of the mobile device 20 or the label is authentic It is possible to prevent forgery of the label and effectively prevent the forged label from being displayed and used in the counterfeit product.

On the other hand, the authentication unit 15 may limit the number of times that the label is authentic or not. If the number of times the label or the authenticity of the item is verified exceeds a predetermined number, the authentication unit 15 may determine that the label or the article is falsified have. For example, when the authentication unit 15 restricts the number of authenticity confirmation times for a specific label by three, and the user confirms the authenticity of the label for the fourth time using the mobile device 20, . In this case, the authentication unit 15 can request a password change to the mobile device 20 when the authenticity of the label is confirmed a limited number of times, and when the password is changed, the authenticity limit frequency of the label is updated and set have.

The label information management unit 16 can confirm whether the label is true or not and whether the label is authentic. Then, the label information management unit 16 can update the database 17 with the number of times the authenticity of the label and the authenticity of the label are confirmed and stored.

The label information management unit 16 may change the database 17 so that it is determined that the label has been falsified based on the number of times the wrong password is received when the password received from the mobile device 20 is wrong.

The label information management unit 16 can change the database 17 so that it is determined that the label has been falsified if the number of times the authenticity check is limited for each label exceeds the preset limit number of times.

The database 17 may store at least one or more of the information of the article 30, the type of figure pattern, the figure value of the figure pattern, the authenticity of the label 30 or the article 30. For example, Information such as the type of the pattern 30 to be detected, the type of the figure to be detected, the type of figure pattern in the label area, the number of lines, the minimum length, the interval, the angle, the dot pattern information and the figure shape can be stored. The database 17 may further store device information of the mobile device 20, a password, and the number of authenticity limitations of the item 30. [

One example of such a database 17 includes a hard disk drive, a ROM (Read Only Memory), a RAM (Random Access Memory), a flash memory, a memory card, and the like which are present inside or outside the authentication server 10.

7 is a flowchart illustrating an authentication process according to an exemplary embodiment of the present invention. 7, the mobile device 20 captures an image of the label attached to the article 30 (S701), and the authentication server 10 receives the captured label image from the mobile device 20 (S702) . The authentication server 10 extracts the label area from the received label image (S703), and analyzes one-dimensional or more codes included in the extracted label area (S704). The authentication server 10 transmits the code analysis result to the database 17 and the authentication server 10 receives the reference information as a reference for the genuine article judgment from the database 17 (S705). The authentication server 10 generates authentication information corresponding to the label based on the received reference information (S706), and transmits the authentication information to the mobile device 20 (S707). The mobile device 20 displays the authentication result on the display based on the received authentication information (S708).

However, since FIG. 7 is only an embodiment of the present invention, the present invention should not be construed as limited to the embodiment illustrated in FIG.

8 is a configuration diagram of the mobile device 20 shown in FIG. The mobile device 20 shown in Fig. 8 may perform the operations of the authentication server 10 shown in Fig. 1 in another embodiment. In this case, the authentication server 10 can perform the function of the database. Therefore, even if omitted below, the contents described above with respect to the authentication server 10 shown in Fig. 1 also apply to the operation of the mobile device 20 shown in Fig. In other words, matters not described for the mobile device 20 of FIG. 8 can be inferred by those skilled in the art from the same or described contents of the authentication server 10 through FIGS. 1 and 2 Therefore, it is omitted below.

8, the mobile device 20 includes a photographing unit 21, a label region extracting unit 22, a code recognizing unit 23, a communication unit 24, a figure pattern analyzing unit 25, and an authentication unit 26 ).

The photographing section 21 can photograph the label displayed on the article 30 through the photographing apparatus. For example, the photographing section 21 may photograph a label image including a label through a photographing device including a camera mounted on the mobile device 20. [

The label region extracting unit 22 can extract the label region included in the label image based on the label image of the photographed label. For example, the label region extracting unit 22 may extract a rectangular or octagonal label region included in the label image.

The code recognition unit 23 can recognize a one-dimensional or more code included in the extracted label area. For example, the code recognition unit 23 can recognize a barcode included in a rectangular label area.

The communication unit 24 can transmit the information of the recognized code to the server and receive the analysis data corresponding to the code information from the server. As an example, the communication unit 24 may receive data related to the pattern of figures from the server.

The figure pattern analyzer 25 can analyze the figure pattern of the extracted label area. The figure pattern analyzing unit 25 can analyze the figure pattern of the extracted label area based on the received analysis data. For example, the figure pattern analyzer 25 can analyze a line or a dot pattern included in the extracted label area.

The authentication unit 26 can generate authentication information corresponding to the label based on the analysis result of the analysis data and the figure pattern received. At this time, the authentication information may include at least one of the authenticity of the label, the authenticity of the article, the production history of the article, the prize information associated with the article, and the point information associated with the article. For example, the authenticating unit 26 may determine whether the label 30 corresponding to the label or the authenticity of the item 30 based on at least one of the number, the interval and the angle of the lines included in the label area extracted from the figure pattern analyzing unit 25 Can be determined.

9 is a flowchart illustrating an authentication process according to another embodiment of the present invention. 9, the mobile device 20 photographs the label attached to the article 30 (S901) and extracts the label area from the photographed label image (S902). The mobile device 20 analyzes a code such as a bar code included in the label area (S903), and transmits the analyzed code information to the server (S904). The mobile device 20 receives the analysis data on the code information from the server (S905), authenticates the label based on the received analysis data (S906), and displays the authentication result on the display (S907).

10 is a flowchart illustrating an authentication method according to an embodiment of the present invention. FIG. 10 includes steps being processed in a time-series manner in the authentication server 10 shown in FIG. Therefore, the contents described above with respect to the authentication server 10 through FIGS. 1 and 2 also apply to the embodiment described with reference to FIG.

10, the authentication server 10 receives a label image of the label 30 displayed on the article 30 from the mobile device 10 (S1001), and based on the received label image, Area is extracted (S1002). The authentication server 10 analyzes the one-dimensional or more code included in the extracted label area (S1003), and analyzes the figure pattern of the extracted label area (S1004). Then, the authentication server 10 generates authentication information corresponding to the label based on the analysis result of the code and the pattern analysis result of the graphic form (S1005).

The authentication method according to the embodiment described with reference to FIG. 10 may also be implemented in the form of a recording medium including instructions executable by a computer, such as a program module executed by a computer. Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. In addition, the computer-readable medium may include both computer storage media and communication media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Communication media typically includes any information delivery media, including computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave, or other transport mechanism.

It will be understood by those skilled in the art that the foregoing description of the present invention is for illustrative purposes only and that those of ordinary skill in the art can readily understand that various changes and modifications may be made without departing from the spirit or essential characteristics of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single entity may be distributed and implemented, and components described as being distributed may also be implemented in a combined form.

The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

10: Authentication server
20: Mobile device

Claims (18)

An authentication server for generating authentication information corresponding to a label,
A communication unit for receiving a label image of a label displayed on the article from a mobile device;
A label region extracting unit for extracting a label region included in the label image based on the received label image;
A code analyzer for analyzing one or more codes included in the extracted label area;
A figure pattern analyzer for analyzing the figure pattern of the extracted label area; And
And an authentication unit that generates authentication information corresponding to the label based on the analysis result of the code and the analysis result of the figure pattern.
The method according to claim 1,
Wherein the figure pattern is at least one of a line, a dot and a figure,
Wherein the code is one of a one-dimensional bar code, a QR code as a two-dimensional bar code, or a color code as a three-dimensional code.
The method according to claim 1,
And the communication unit transmits the authentication information to the mobile device.
The method according to claim 1,
Further comprising a database for storing at least one of information on the article, type of the figure pattern, set value of the figure pattern, and authenticity of the article.
The method according to claim 1,
Wherein the label area extracting unit recognizes any one of a label area of a square or an octagon from the label image and extracts the recognized label area from the label image.
The method according to claim 1,
Wherein the code analyzing unit generates an analysis result including at least one of the information of the code, the information of the article corresponding to the code, and the encryption scheme of the code from one or more codes included in the label area, To the authentication unit.
The method according to claim 6,
Wherein the authentication unit extracts a reference image of the code from the database and compares the received analysis result with a reference image of the extracted code to authenticate the label or the article.
The method according to claim 1,
Wherein the authentication unit judges that the article corresponding to the label is genuine when at least one of the number, the interval, the angle, the direction and the pattern match of the analyzed figure coincide with each other.
The method according to claim 1,
Wherein the communication unit receives a password from the mobile device,
Wherein the authentication unit authenticates the label or the article based on the received password.
10. The method of claim 9,
Wherein the communication unit receives the device information of the mobile device from the mobile device,
Wherein the authentication unit authenticates the label or the article based on the received device information.
11. The method of claim 10,
Wherein the communication unit further requests the mobile device to send one or more of the device information and the password to the mobile device when receiving the label image from the mobile device,
Wherein the database stores one or more of the device information and the password in association with information on the label image.
10. The method of claim 9,
Wherein the authentication unit determines that the label or the article is falsified if the password is an incorrect password.
The method according to claim 1,
Further comprising a label information management unit for recording the number of authentications of the label or article in a database,
Wherein the authentication unit determines that the article is falsified if the number of authentication times of the article exceeds a limited number of times.
The method according to claim 1,
Wherein the communication unit notifies the mobile device that the photographed label image is not valid when the number of times of authentication of the article exceeds a preset number of times.
The method according to claim 1,
Wherein the authentication information includes at least one of the authenticity of the label, the authenticity of the article, the production history of the article, the prize information associated with the article, and the point information associated with the article.
An authentication method for generating authentication information corresponding to a label,
Receiving from the mobile device a label image of the label displayed on the article;
Extracting a label area included in the label image based on the received label image;
Analyzing a one-dimensional or more code included in the extracted label area;
Analyzing a figure pattern of the extracted label area;
And generating authentication information corresponding to the label based on the analysis result of the code and the analysis result of the figure pattern.
A mobile device for generating authentication information corresponding to a label,
A photographing unit photographing the label displayed on the article through the photographing apparatus;
A label region extracting unit for extracting a label region included in the label image based on the label image of the photographed label;
A code recognition unit for recognizing one or more codes included in the extracted label area;
A communication unit for transmitting the information of the recognized code to the server and receiving analysis data corresponding to the information of the code from the server;
A figure pattern analyzer for analyzing the figure pattern of the extracted label area; And
And an authentication unit that generates authentication information corresponding to the label on the basis of the analysis result of the received analysis data and the figure pattern.
18. The method of claim 17,
And the figure pattern analyzing unit analyzes the figure pattern of the extracted label area based on the received analysis data.

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