WO2021101290A1 - 도트 난반사 특성을 이용한 진위여부 판별장치 및 그 장치의 구동방법 - Google Patents
도트 난반사 특성을 이용한 진위여부 판별장치 및 그 장치의 구동방법 Download PDFInfo
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- WO2021101290A1 WO2021101290A1 PCT/KR2020/016419 KR2020016419W WO2021101290A1 WO 2021101290 A1 WO2021101290 A1 WO 2021101290A1 KR 2020016419 W KR2020016419 W KR 2020016419W WO 2021101290 A1 WO2021101290 A1 WO 2021101290A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- authenticity
- diffuse reflection
- reference data
- printing layer
- transparent printing
- Prior art date
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/60—Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
Definitions
- the present invention relates to an authenticity determination device using dot diffuse reflection characteristics and a method of driving the device, and more particularly, dot diffuse reflection characteristics that can simply perform genuine product authentication through a portable user terminal such as a smart phone. It relates to a device for determining whether or not the authenticity used and a method of driving the device.
- this method since this method includes and outputs the 2D barcode in the document, there is a problem in that a certain area of the document must be allocated to the 2D barcode. That is, in order to include the 2D barcode in a document, there is a problem in that a separate space must be allocated as an area of the 2D barcode. In addition, in order to check forgery of the printed document, there is a problem that the procedure is complicated, such as having to decode the 2D barcode in the acquired document after acquiring the document using a separate scanner device.
- QR code Quick Response Code
- An object of the present invention is to provide a device for determining authenticity and a method of driving the device using a dot diffuse reflection characteristic that can simply perform genuine product authentication through a portable user terminal such as a smart phone.
- the apparatus for determining authenticity using dot diffuse reflection characteristics is a reference data for determining authenticity generated to apply dot diffuse reflection characteristics based on a transparent printed layer formed on the surface of a target for authenticity determination.
- a storage unit that stores and recognizes the code value for the surface in the photographed image photographing the surface of the object to determine whether the authenticity or not, and compares the recognized code value with the stored authenticity determination reference data to determine whether the object is authentic or not. It includes a control unit to determine.
- the storage unit may store the reference data for the transparent printing layer in an embossed form in which color difference is eliminated so that visual discrimination is impossible.
- the storage unit may generate and store the reference data for the embossed embossed shape.
- the controller may use a reflection image acquired when the surface is reflected by a flash of the user terminal device as the photographed image, and recognize a pixel value extracted from the reflection image as the code value.
- the authenticity determination method using dot diffuse reflection characteristics uses reference data for authenticity determination generated to apply dot diffuse reflection characteristics based on a transparent printed layer formed on the surface of the object to determine authenticity. Storing, receiving a photographed image of the surface of the object to determine whether the authenticity or not, recognizing a code value for the surface from the received photographed image, and the stored authenticity determination criterion of the recognized code value And determining whether the object is authentic or not by comparing it with the data.
- the storing may include storing the reference data for the transparent printing layer in an embossed form in which color difference is eliminated and visual discrimination is impossible.
- the storing may generate and store the reference data for the embossed embossed shape.
- the recognizing step includes a pixel value extracted from the reflected image with the code It can be recognized by value.
- a computer-readable recording medium is a computer-readable recording medium including a program for executing a method for determining authenticity using dot diffuse reflection characteristics, and a method for determining authenticity using dot diffuse reflection characteristics. Storing the reference data for determining the authenticity or not, created to apply the dot diffuse reflection characteristic based on the transparent printing layer formed on the surface of the object for authenticity determination, and receiving a photographed image of the surface of the target for authenticity determination And recognizing the code value for the surface from the received photographed image, and determining whether the object is authentic or not by comparing the recognized code value with the stored authenticity determination reference data.
- FIG. 1 is a view showing a genuine product authentication service system according to an embodiment of the present invention
- FIG. 2 is a view showing the actual state of the object to be discriminated according to an embodiment of the present invention
- FIG. 3 is a block diagram illustrating a detailed structure of a device for determining authenticity according to an embodiment of the present invention
- FIG. 4 is a block diagram illustrating a detailed structure of the authenticity processing unit of FIG. 3, and
- FIG. 5 is a flowchart illustrating a driving process of the authenticity determination apparatus according to an embodiment of the present invention.
- FIG. 1 is a diagram showing a genuine product authentication service system according to an embodiment of the present invention
- FIG. 2 is a view showing an actual state of a discrimination target according to an embodiment of the present invention.
- the genuine product certification service system 90 includes a user terminal device 100, a communication network 110, a genuine product certification service device 120, and a part of the manager device 130. Or include all.
- the genuine product authentication service device 120 includes a stand alone form (for example, an app) so that the user terminal device 100 can operate in a stand alone form (for example, an app It means that a part or all of the genuine product authentication service device 120 can be integrated into and configured with a network device (eg, a wireless switching device) constituting the communication network 110. , It will be described as including all in order to help a sufficient understanding of the invention.
- a network device eg, a wireless switching device
- the user terminal device 100 includes a smart phone, a tablet PC, a laptop computer, and a wearable device such as a domestic company S's Galaxy * Gear.
- the user terminal device 100 may be any device, including a camera, as long as it is capable of taking a picture (or a surface scanning operation) to detect forgery and alteration. Accordingly, in an embodiment of the present invention, a dedicated terminal device separately manufactured for discrimination may be used. It is preferable that the user terminal device 100 operates a flash when taking a picture, that is, when photographing the authenticity determination object (hereinafter, the determination object) 95 and 97 as shown in FIG. 1.
- the determination object hereinafter, the determination object
- a separate flash device may be used, or the corresponding light may be used when there is light around it, so in this case, the flash may not be used. However, it is desirable that the flash is always on.
- the determination targets 95 and 97 for which authenticity is determined by photographing by the user terminal device 100 includes a transparent printing layer 97 formed on one side of the paper sheet 95.
- a transparent printing layer 97 formed on one side of the paper sheet 95.
- any shape may be used. More precisely, it is irrelevant to any form that uses the diffuse reflection property.
- the branch 95 such as the discrimination targets 95 and 97 according to the embodiment of the present invention, as shown in FIG. 2, it must be manufactured in a form that is invisible visually, and thus the physical color Since there is no car, it provides a form that cannot be duplicated with optical equipment, such as a photocopier. Based on this, it can be seen that the transparent printing layer 97 forms a very fine pattern.
- the transparent printing layer 97 may be formed by mixing general ink and resin. Of course, it is desirable that the pattern has a code value, that is, information. Since it is for discriminating forgery of the discrimination targets 95 and 97 by using diffuse reflection of light, the transparent printing layer 97 may take various forms, but it is preferable to have a convex embo shape as in FIG. 1. . However, if it is possible to discriminate forgery or alteration using diffuse reflection, and if it is a form that cannot be visually discriminated, it is irrelevant to form any pattern. For example, it may have a square shape, and the transparent printing layer 97 may be formed in an intaglio shape.
- the user terminal device 100 may execute a dedicated application (hereinafter, an app) therefor in order to determine the authenticity according to an embodiment of the present invention. Therefore, when a user launches the app to determine whether a specific product or product is authentic, and then points the camera to the surface of the product or product, the flash is automatically activated and a picture is taken. It is desirable to secure a photographed image of a still image by taking a single photo rather than taking a video.
- the identification targets 95 and 97 recognize the value of the code reflected and expressed through the flash built in the user terminal device 100. Connect the resulting data.
- the value of the code can be various information using the characteristics of light. For example, it may be a reflection speed of light, a pixel value of a photographed image, that is, an image containing diffuse reflection, or a luminance value among the pixel values.
- the user terminal device 100 extracts data from the diffuse reflection of a dot (or dot) and transmits the extracted data to the genuine product authentication service device 120 to determine the presence or absence of duplication or forgery such as genuine product authentication, and the authenticity of the original. It is used to determine whether or not it is used to verify the result. Data extraction may be performed in the user terminal device 100 through an app, but since it may be performed in the genuine product authentication service device 120, it will not be specifically limited to any one form in the embodiment of the present invention.
- the photographed image captured by the user terminal device 100 may be provided to the genuine product authentication service device 120 via the communication network 110 of FIG. 1, and the authenticity can be determined using the photographed image directly taken from the app. It can be done.
- the app may extract only data from the photographed image and transmit the extracted data to the genuine product authentication service device 120.
- the genuine product authentication service device 120 is an expensive device, and therefore has a high probability of holding a high-performance hardware resource or software resource, it may be more preferable to determine whether the authenticity is performed in the corresponding device.
- FIG. 2 shows the originals when the flash is turned off, for example, identification targets 95 and 97
- FIG. 2 shows the originals when the flash is turned on. Is showing.
- the transparent printing layer 97 according to the embodiment of the present invention is each formed, and the pattern formed in the transparent printing layer 97 may contain some kind of information, so in the embodiment of the present invention, it is "two-dimensional. It can be called "code”.
- the pattern of the transparent printing layer 97 according to an embodiment of the present invention may be referred to as G (Gost)-dot (DoT: Data of Things).
- the two-dimensional code is a means for determining whether it is authentic or not, and the transparent printing layer 97 formed on the paper sheet 95 forms a certain pattern, and this pattern ultimately serves as information. Since the transparent printing layer 97 is reflected by light, it is possible to find the reflected part and determine whether the original is based on this.
- the information, or code can be a pixel value as mentioned above. In the photographed image, the pixel value means the color. Of course, the color includes luminance, or brightness.
- the reflective portion by the transparent printing layer 97 becomes information. For example, even if it is the same red color, it may be expressed in 256 gradations, that is, levels, and the gray scale may be luminance.
- the grayscale value when there is no diffuse reflection and the grayscale value when there is diffuse reflection may be used as the code value according to the embodiment of the present invention when determining authenticity.
- various factors due to diffuse reflection may be used for authenticity determination, it will not be specifically limited to any one in the embodiment of the present invention.
- the communication network 110 includes all wired and wireless communication networks.
- a wired or wireless Internet network may be used or interlocked.
- the wired network includes an Internet network such as a cable network or a public telephone network (PSTN)
- the wireless communication network includes CDMA, WCDMA, GSM, Evolved Packet Core (EPC), Long Term Evolution (LTE), and Wibro networks. It is meant to include.
- the communication network 110 according to the embodiment of the present invention is not limited thereto, and may be used as an access network for a next-generation mobile communication system to be implemented in the future, for example, a cloud computing network or a 5G network under a cloud computing environment.
- the AP in the communication network 110 can access the switching center of the telephone office, but in the case of a wireless communication network, it accesses SGSN or GGSN (Gateway GPRS Support Node) operated by a communication company to process data.
- SGSN Serving GPRS Support Node
- GGSN Gateway GPRS Support Node
- data can be processed by accessing various repeaters such as BTS (Base Station Transmission), NodeB, and e-NodeB.
- the communication network 110 may include an AP.
- APs include small base stations such as femto or pico base stations that are frequently installed in buildings.
- femto or pico base stations are classified according to how many user terminal devices 100 or manager devices 130 can be connected to the maximum number of small base stations according to the classification of small base stations.
- the AP may include a short-range communication module for performing short-range communication such as the ground switch 100 and Zig-bee and Wi-Fi.
- the AP can use TCP/IP or RTSP for wireless communication.
- short-range communication includes various standards such as RF and ultra wideband communication (UWB) such as Bluetooth, ZigBee, infrared, UHF and VHF in addition to Wi-Fi as mentioned above.
- UWB ultra wideband communication
- the AP extracts the location of the data packet, designates the best communication path for the extracted location, and transfers the data packet to the next device, for example, the genuine product authentication service device 120 along the designated communication path.
- APs can share multiple lines in a general network environment, and include routers, repeaters, and repeaters.
- the genuine product authentication service device 120 may determine whether the authenticity is based on the request of the user terminal device 100. Prior to this, the genuine product authentication service device 120 may download an app to perform an operation according to an embodiment of the present invention. When the user runs the app in the user terminal device 100, a communication channel with the genuine product authentication service device 120 may be established. Accordingly, when the user terminal device 100 provides a photographed image of the object to be determined 95 and 97, the genuine product authentication service device 120 may analyze the image to determine whether it is authentic or not. The photographed image receives a reflection image to which diffuse reflection of the light of the flash is applied when photographing by the user terminal device 100, and determines whether or not it is authentic using the received reflection image.
- the genuine product authentication service device 120 may receive reference data that is a reference for determining authenticity from the manager device 130 and store it in the DB 120a. For example, after analyzing it using the characteristics of diffuse reflection of the original and storing it as reference data, a photographed image of a product without diffuse reflection is determined as not genuine.
- reference data since the genuine product has diffuse reflection characteristics, it is desirable to secure various'number of cases' by analyzing the input data through repeated tests. For example, it is possible to obtain reference data by performing a scan in various directions and analyzing a photographed image obtained through the scan. Accordingly, the reference value may vary depending on the shape of the transparent printing layer 97 formed on the genuine paper 95.
- the method of storing the reference data in the DB (120a) in the genuine product authentication service device 120 is generated and provided by the manager device 130, but the manager's smart device where a dedicated app for generating the reference data is installed as the manager device 130.
- a phone may be used, or reference data may be generated and stored through an algorithm through a program installed on the administrator's desktop computer. For example, when a two-dimensional code, that is, a pattern of the transparent printing layer 97 is determined in what form, and condition data for the light of the flash is simulated, a reference data value can be generated accordingly. As a result, reference data can be generated and provided.
- a dedicated app installed on the smartphone may be executed, and reference data may be generated using a photographed image provided by shooting in an actual environment, and then stored in the DB 120a and then used.
- the manager device 130 may include various devices such as a portable terminal device such as a smartphone, a notebook computer, a laptop and a desktop computer, and a tablet PC provided by the manager. As described above, the manager device 130 extracts data from the genuine mark on which the diffuse reflection characteristic is reflected, that is, on which the transparent printing layer 97 is formed, to prevent forgery and alteration of the genuine product, and connects to the genuine product certification service device 120 as a reference value. It can be stored in the DB (120a). This can be directly photographed and saved, but a reference value can be created and saved through the program's algorithm on a computer. For example, when an administrator executes an app on his smartphone and photographs a genuine mark to be registered in various directions, reference data may be automatically generated and stored. In this regard, programs used by users and administrators, such as apps, may be somewhat different.
- FIG. 3 is a block diagram illustrating a detailed structure of an authenticity determination device according to an embodiment of the present invention
- FIG. 4 is a block diagram illustrating a detailed structure of the authenticity processing unit of FIG. 3.
- the authenticity determination device 100 and 120 may mean at least one of the user terminal device 100 and the genuine product authentication service device 120 of FIG. 1, for example, implementation of the present invention.
- the genuine product certification service device 120 will be described as an example on the assumption that the genuine product certification service device 120 can include a high-performance resource given that it is an expensive equipment.
- the operation according to the embodiment of the present invention is performed by the genuine product certification service device ( 120) will not be specifically limited.
- the genuine product authentication service device 120 includes a communication interface unit 300, a control unit 310, and a genuine product authentication processing unit 320. And some or all of the storage unit 330.
- the communication interface unit 300 communicates with the user terminal device 100 via the communication network 110.
- various operations such as modulation/demodulation, encoding/decoding, muxing/demuxing, and resolution conversion may be performed. This is obvious to those skilled in the art, so further descriptions will be omitted.
- the communication interface unit 300 may receive a photographed image using the diffuse reflection characteristic, more precisely, a (diffuse) reflection image from the user terminal device 100. Of course, in the case of counterfeit products, it may not be a diffusely reflected image.
- the communication interface unit 300 may also receive the extracted data when the user terminal device 100 extracts and provides data for a corresponding diffuse reflection image. However, in the embodiment of the present invention, it will be described that the reflection image is received for the same reason as described above.
- the communication interface unit 300 transmits a result of the authenticity of a product captured by the user terminal device 100 based on the diffuse reflection image received under the control of the controller 310. Since the result can be provided in various forms, it will not be specifically limited to any one form. Of course, since you are running the app, it is desirable to provide results through the app.
- the control unit 310 is in charge of overall control operations of the communication interface unit 300 of Fig. 3, the genuine product authentication processing unit 320, and the storage unit 330 constituting the genuine product authentication service device 120 of Fig. 1. For example, when a diffusely reflected image is received by the communication interface unit 300, it may be temporarily stored in the storage unit 330 and then recalled and provided to the genuine product authentication processing unit 320. In addition, the control unit 310 controls the communication interface unit 300 to provide an authentication result provided by analyzing the diffusely reflected image from the genuine product authentication processing unit 320 to the user terminal device 100.
- the transparent printing layer 97 to which the diffuse reflection characteristic is applied may include a two-dimensional code, that is, product information
- the method of discrimination may be made in various forms. Since it is invisible, it is not easy to be able to create the same print pattern and duplicate it. In particular, if the manufacturer of the product periodically changes the pattern of the transparent printing layer 97 containing information or changes it into various forms, it will be possible to easily detect duplication or forgery even if duplication occurs. .
- the genuine product authentication processing unit 320 may store one reference value in a registry or the like and use it for authentication. However, if authentication is required for many products (e.g., cosmetics, luxury liquor, etc.) as above, and the reference values are different for each product, the related data is stored in the storage unit 330 and then the control unit Upon request to 310, the reference data may be provided, and the authenticity may be determined by comparing it with the extracted data for which authentication is requested.
- the genuine product authentication processing unit 320 extracts and transmits data from the user terminal device 100, it compares the reference data with the received extracted data to determine the authenticity, but is provided by the user terminal device 100 for each product. If the extracted data to be extracted are different, it may be possible to select the reference data based on the identification information of the corresponding product and determine the authenticity based on this.
- the genuine product authentication processing unit 320 analyzes the image to extract data reflecting the diffuse reflection characteristics, and uses the extracted data as reference data. It can be compared to and whether it is authentic or not. For example, if there is no diffuse reflection characteristic, it is obviously a duplication or forgery. However, even if there is a diffuse reflection characteristic through duplication or forgery, it will be possible to discriminate against duplication or forgery by checking specific data information. In this process, for example, if deep learning of artificial intelligence (AI) is applied, its accuracy can be further improved. For example, when deep learning is applied, it may be useful to reveal the source of where forgery occurs.
- AI artificial intelligence
- the genuine product authentication processing unit 320 of FIG. 3 may have the same configuration as the genuine product authentication processing unit 320 ′ of FIG. 4.
- the genuine product authentication processing unit 320 ′ may include a part or all of the code value recognition unit 400, the authenticity determination unit 410, and the reference data storage unit 420, where "includes some or all" It is the same as the previous meaning.
- the code value recognition unit 400 may recognize a code value by analyzing a pixel value of the corresponding captured image.
- the code value can be in the form of a binary bit, and the code value when there is diffuse reflection and the code value when there is no diffuse reflection are clearly different. Accordingly, it can be seen that the code value recognition unit 400 extracts such information in the form of binary bits.
- the authenticity determination unit 410 compares the code value provided by the code value recognition unit 400 and data in the reference data storage unit 420 with each other. If the comparison result matches each other, a result of genuine product may be output, and if not, a result of counterfeit may be output. For example, if there is an error in only some data, it is possible to use artificial intelligence (AI) deep learning to determine whether to classify it as forgery or to determine it as genuine. You will be able to correct errors through learning.
- AI artificial intelligence
- the reference data storage unit 420 may store reference data automatically generated by software or hardware, manually by an administrator, or through the manager device 130 of FIG. 1. This process is a process in which specific information on the 2D code of the transparent printing layer 97 formed to use the diffuse reflection characteristic is registered, and may be registered in the form of binary bits.
- the storage unit 330 may store various types of information or data processed under the control of the controller 310. Pixel data of the received photographed image may be temporarily stored in the storage unit 330 and then provided to the genuine product authentication processing unit 320 of FIG. 3. If the storage unit 330 is a hardware memory such as RAM or ROM, the above reference data storage unit 420 may mean a software registry, etc., but the embodiment of the present invention will not be particularly limited to such a configuration.
- control unit 310 of FIG. 3 is another embodiment of the present invention, and may include a CPU and a memory.
- the CPU and memory may be formed in one chip.
- the CPU includes a control circuit, an operation unit (ALU), an instruction interpretation unit, a registry, and the like, and the memory may include RAM.
- the control circuit can perform the control operation, the operation unit operates the operation of binary bit information, the instruction analysis unit interprets the high-level language into the machine language and the machine language into the high-level language, and the registry is responsible for software data storage. I can.
- the program or algorithm stored in the genuine product certification processing unit 320 is stored in the memory and executed, thereby increasing the operation processing speed quickly. I will be able to.
- FIG. 5 is a flowchart illustrating a driving process of the authenticity determination apparatus according to an embodiment of the present invention.
- the genuine product certification service device 120 is the authenticity determination device 100 and 120, which is a subject to be determined. Based on the transparent printing layer 97 formed on the surfaces of (95, 97), authenticity determination reference data for applying the dot diffuse reflection characteristic is generated and stored (S500).
- the genuine product authentication service device 120 receives a photographed image of the surface of the object to determine whether the authenticity is photographed by the user terminal device 100 (S510).
- the received photographed image may be a diffuse reflection image if it is genuine, and may not be a diffuse reflection image if it is not genuine.
- a diffuse reflection image due to forgery can be received, but it will be determined that it is not genuine by analysis through the 2D code information.
- the genuine product authentication service device 120 recognizes the code value for the surface in the received photographed image (S520). That is, it can be seen that the data or information of the transparent printing layer 97 reflecting the dot diffuse reflection characteristic is recognized.
- This recognition process may be determined based on, for example, analyzing the pixel values of the captured image reflecting the diffuse reflection characteristics. Alternatively, only the luminance value may be used, and the characteristics of light such as diffuse reflection may be analyzed and determined. For example, if there is diffuse reflection, when light is emitted from the flash and reflected on the surface and received by the camera, time may be delayed or light may be scattered, so this property is used. Therefore, the diffuse reflection characteristics will vary greatly depending on what pattern or shape is formed so that the transparent printing layer 97 can have what kind of code information. If you want to use different diffuse reflection characteristics for each product, you can change the pattern or shape to reflect different two-dimensional code values.
- the genuine product authentication service device 120 determines whether the object is authentic by comparing the recognized code value with pre-stored reference data for determining authenticity (S530). If they match each other, they are genuine, and if they are different, they are counterfeit. Artificial intelligence deep learning technology may be applied to increase the accuracy when determining whether such authenticity or not. For example, if there is no diffuse reflection, the genuine product authentication service device 120 may first classify it as forgery or forgery, and even if there is diffused reflection, it may secondly check the code information and classify it as a duplicate or forgery. If there is an error in some data and it is not clear whether or not the authenticity is determined, deep learning can be applied. For example, when mislearning occurs through deep learning and a complaint is received from a customer, it can be learned to correct the error and used to determine whether it is authentic in the future.
- the genuine product authentication service device 120 can perform various operations, and other details have been sufficiently described above, and thus the contents will be substituted.
- the authenticity authentication service device 120 is described as an example as the authenticity determination devices 100 and 120, but some or all of the operations of FIG. 5 may be performed in the user terminal device 100, so the present invention In the embodiment of, the operation will not be specifically limited to any one device.
- the present invention is not necessarily limited to this embodiment. That is, within the scope of the object of the present invention, all the constituent elements may be selectively combined and operated in one or more.
- all of the components may be implemented as one independent hardware, a program module that performs some or all functions combined in one or more hardware by selectively combining some or all of the components. It may be implemented as a computer program having Codes and code segments constituting the computer program may be easily inferred by those skilled in the art of the present invention.
- Such a computer program is stored in a non-transitory computer readable media that can be read by a computer and is read and executed by a computer, thereby implementing an embodiment of the present invention.
- the non-transitory readable recording medium is not a medium that stores data for a short moment, such as a register, cache, memory, etc., but a medium that stores data semi-permanently and can be read by a device.
- the above-described programs may be provided by being stored in a non-transitory readable recording medium such as a CD, DVD, hard disk, Blu-ray disk, USB, memory card, ROM, or the like.
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- 진위여부 판별대상의 표면에 형성한 투명 인쇄층에 의해 반사되어 도트(dot) 난반사 특성을 보이는 반사 부위를 이용하여 생성한 진위여부판별 기준데이터를 저장하는 단계;진위여부 판별대상의 표면에 대한 촬영이미지를 수신하는 단계;상기 수신한 촬영이미지에서 상기 표면에 대한 코드값을 인지하는 단계; 및상기 인지한 코드값을 상기 저장한 진위여부판별 기준데이터와 비교해 상기 난반사 특성을 보이는지 판단하여 대상의 진위여부를 판별하는 단계;를 포함하며,상기 기준데이터를 저장하는 단계는,상기 진위여부 판별대상에 형성한 투명 인쇄층을 다양한 방향에서 스캔을 수행하여 확보되는 촬영이미지를 분석하여 생성되는 상기 기준데이터를 저장하며,상기 투명 인쇄층은,색상차를 없애 육안 판별이 불가능한 형태로 형성되며, 상기 투명 인쇄층에 의해 반사가 이루어지도록 외부로 노출되어 형성되는 도트 난반사 특성을 이용한 진위여부 판별방법.
- 제1항에 있어서,상기 저장하는 단계는,색상차를 없애 육안 판별이 불가능한 엠보(embo) 형태의 상기 투명 인쇄층에 대한 상기 기준 데이터를 저장하는 도트 난반사 특성을 이용한 진위여부 판별방법.
- 제2항에 있어서,상기 저장하는 단계는,양각 형태의 상기 엠보에 대한 상기 기준 데이터를 생성하여 저장하는 도트 난반사 특성을 이용한 진위여부 판별방법.
- 제1항에 있어서,상기 촬영이미지를 수신하는 단계는,사용자 단말장치의 플래시(Flash)에 의해 상기 표면이 반사될 때 취득한 반사영상을 상기 촬영이미지로서 수신하며,상기 인지하는 단계는,상기 반사영상에서 추출하는 화소값을 상기 코드값으로 인지하는 도트 난반사 특성을 이용한 진위여부 판별방법.
- 진위여부 판별대상의 표면에 형성한 투명 인쇄층에 의해 반사되어 도트(dot) 난반사 특성을 보이는 반사 부위를 이용하여 생성한 진위여부판별 기준데이터를 저장하는 저장부; 및진위여부 판별대상의 표면을 촬영한 촬영이미지에서 상기 표면에 대한 코드값을 인지하며, 상기 인지한 코드값을 상기 저장한 진위여부판별 기준 데이터와 비교해 상기 난반사 특성을 보이는지 판단하여 대상의 진위여부를 판별하는 제어부;를 포함하며,상기 저장부는,상기 진위여부 판별대상에 형성한 투명 인쇄층을 다양한 방향에서 스캔을 수행하여 확보되는 촬영이미지를 분석하여 생성되는 상기 기준데이터를 저장하며,상기 투명 인쇄층은,색상차를 없애 육안 판별이 불가능한 형태로 형성되며, 상기 투명 인쇄층에 의해 반사가 이루어지도록 외부로 노출되어 형성되는 도트 난반사 특성을 이용한 진위여부 판별장치.
- 제5항에 있어서,상기 저장부는, 색상차를 없애 육안 판별이 불가능한 엠보 형태의 상기 투명 인쇄층에 대한 상기 기준 데이터를 저장하는 도트 난반사 특성을 이용한 진위여부 판별장치.
- 제6항에 있어서,상기 저장부는, 양각 형태의 상기 엠보에 대한 상기 기준 데이터를 생성하여 저장하는 도트 난반사 특성을 이용한 진위여부 판별장치.
- 제5항에 있어서,상기 제어부는, 사용자 단말장치의 플래시에 의해 상기 표면이 반사될 때 취득한 반사영상을 상기 촬영이미지로서 이용하며, 상기 반사영상에서 추출하는 화소값을 상기 코드값으로 인지하는 도트 난반사 특성을 이용한 진위여부 판별장치.
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