WO2020042754A1 - 一种全息防伪码校验方法及装置 - Google Patents

一种全息防伪码校验方法及装置 Download PDF

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Publication number
WO2020042754A1
WO2020042754A1 PCT/CN2019/094394 CN2019094394W WO2020042754A1 WO 2020042754 A1 WO2020042754 A1 WO 2020042754A1 CN 2019094394 W CN2019094394 W CN 2019094394W WO 2020042754 A1 WO2020042754 A1 WO 2020042754A1
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Prior art keywords
holographic
code
counterfeit
holographic anti
frame
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PCT/CN2019/094394
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English (en)
French (fr)
Chinese (zh)
Inventor
钱浩然
谢畅
彭宇翔
王恒
孙谷飞
袁皓
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众安信息技术服务有限公司
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Priority to JP2019549445A priority Critical patent/JP6868119B2/ja
Priority to SG11202008829SA priority patent/SG11202008829SA/en
Publication of WO2020042754A1 publication Critical patent/WO2020042754A1/zh

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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
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/757—Matching configurations of points or features

Definitions

  • the present disclosure belongs to the technical field of anti-counterfeiting codes, and in particular relates to a holographic anti-counterfeiting code verification method and device.
  • Holographic anti-counterfeiting technology is a new type of anti-counterfeiting technology developed by the application of laser anti-counterfeiting technology. It is also called laser holographic anti-counterfeiting. Labels made using holographic anti-counterfeiting technology contain more information and therefore have a deeper level of anti-counterfeiting effect than ordinary laser anti-counterfeiting labels. Holographic images are highly technical due to the latest achievements in the fields of laser, precision mechanics and physical chemistry. For most small batch counterfeiters, it is difficult to master the full set of manufacturing technology and the purchase of manufacturing equipment.
  • Hologram means "all information", that is, compared with ordinary photography, which only records the light and dark changes of objects, laser holography can also record the spatial changes of objects. Observing the holographic anti-counterfeiting code at different angles will show different images, such as multi-channel holographic anti-counterfeiting technology: When the logo is rotated, the multi-channel holographic anti-counterfeiting will see different patterns on the same position of the logo; 360 ° computer dot matrix Holographic technology: 360 ° computer dot-matrix holographic technology will show the combination and transformation of light spots such as radial, ring, and spiral within the 360 ° viewing range of the image, which is highly dynamic; dynamic coding anti-counterfeiting technology: dynamic coding anti-counterfeiting is a trademark In front of you, turning the logo slowly will cause a continuous motion pattern.
  • a holographic anti-counterfeiting code verification method includes:
  • mapping table The mapping relationship between different projection angles and image features of the sample holographic anti-counterfeit code is stored in the sample;
  • a holographic anti-counterfeit code verification device includes:
  • a first acquisition module configured to acquire video streams with holographic anti-counterfeit codes at different projection angles
  • a first extraction module configured to extract a projection angle and an image feature of the holographic security code in each frame of one or more frames of the video stream
  • a matching module configured to match a projection angle and an image feature of the holographic security code in each frame in a pre-stored mapping table to obtain a matching rate of the holographic security code in each frame,
  • the mapping table stores mapping relationships between different projection angles and image features of the sample holographic anti-counterfeiting code
  • a first determination module is configured to determine whether the holographic security code is successfully verified according to a matching rate of the holographic security code in each frame.
  • a computer-readable storage medium having stored thereon a computer program, which when executed by a processor, causes the processor to perform the following processing:
  • mapping table The mapping relationship between different projection angles and image features of the sample holographic anti-counterfeit code is stored in the sample;
  • a low-cost, high-efficiency, automated holographic anti-counterfeit code verification can be achieved.
  • FIG. 1 schematically illustrates a flowchart of a holographic security code verification method according to an embodiment of the present disclosure
  • FIG. 2 schematically illustrates a flowchart of a holographic anti-counterfeiting code verification method according to another embodiment of the present disclosure
  • FIG. 3 schematically illustrates a flowchart of a holographic anti-counterfeiting code verification method according to another embodiment of the present disclosure
  • FIG. 4 schematically illustrates a configuration block diagram of a holographic anti-counterfeit code verification device according to another embodiment of the present disclosure
  • FIG. 5 schematically illustrates a configuration of a computing device according to an embodiment of the present disclosure.
  • the present disclosure provides a holographic anti-counterfeiting code verification method and device, which can implement low-cost and high-efficiency automated holographic anti-counterfeiting code verification.
  • the execution subject of the technical solution of the present disclosure may be, for example, a mobile terminal such as a computer, an iPad, or a mobile phone, or an electronic device such as a dedicated device for holographic anti-counterfeit code verification.
  • FIG. 1 schematically illustrates a flowchart of a holographic anti-counterfeiting code verification method according to an embodiment of the present disclosure.
  • step S101 video streams with holographic anti-counterfeiting codes at different projection angles are obtained.
  • the holographic anti-counterfeiting code can be set in a local area on the anti-counterfeiting label, and the anti-counterfeiting label is a carrier of the holographic anti-counterfeiting code.
  • the security label can also include information other than the holographic security code.
  • an image acquisition device may be used to perform video stream data collection on the holographic security code in advance.
  • the image acquisition device may be, for example, a camera installed on a mobile terminal such as a computer, an iPad, or a mobile phone, or an electronic device such as a dedicated device for holographic anti-counterfeit code verification.
  • the image acquisition device may also be a device separate from the above-mentioned electronic device. After the video stream is collected, the image acquisition device inputs the video stream to the electronic device.
  • the embodiment of the present disclosure does not limit the specific input process.
  • the shooting angle may be changed during the process of capturing the video stream to obtain a video stream with holographic anti-counterfeit codes at different projection angles.
  • the shooting angle may be transformed according to a preset angle transformation value.
  • the preset angle transformation value may be an angle range value, or a plurality of discrete angle values.
  • other angle transformation values may be set according to actual needs.
  • video streams with holographic anti-counterfeit codes at different projection angles may be pre-recorded using an image acquisition device, or may be acquired in real time by an image acquisition device.
  • the video stream data of the holographic anti-counterfeiting code may include continuous multi-frame images.
  • the projection angle in this embodiment may be, for example, an angle formed between the holographic anti-counterfeiting code and the projection surface of the camera. Specifically, the angle formed by the connection between the center point of the holographic anti-counterfeiting code and the center point of the projection surface of the camera and the projection surface of the camera.
  • the orthographic projection angle may correspond to an angle at which the holographic security code on the security label is photographed from directly above.
  • step S102 the projection angle and image feature of the holographic security code in each frame of one or more frames of the video stream are extracted.
  • the image features of the holographic anti-counterfeit code can be extracted by computer vision.
  • feature extraction algorithms such as orb, surf, or sift can be used.
  • the embodiment of the present disclosure does not limit the specific extraction process.
  • the one or more frames extracted from the video stream may be continuous frames or discrete frames arranged in chronological order.
  • extracting a projection angle of the holographic security code in each frame of one or more frames of the video stream may include: extracting image characteristics of the holographic security code extracted from each frame and pre-stored security code image characteristics Perform a comparison, generate a transformation matrix, and calculate the projection angle of the holographic security code in each frame.
  • the pre-stored anti-counterfeit code image features may be obtained by performing feature extraction on an orthographic image obtained by photographing a sample holographic anti-counterfeit code at an orthographic projection angle in advance.
  • the orthographic image features may be stored in a pre-built mapping table corresponding to the orthographic angle.
  • the method provided by the embodiment of the present disclosure may further include:
  • Each frame of one or more frames of the video stream is pre-processed.
  • the pre-processing may include operations such as truncation thresholding processing, contrast enhancement processing, and image denoising processing.
  • step S103 the projection angle and image characteristics of the holographic anti-counterfeit code in each frame are matched in a pre-stored mapping table to obtain the matching rate of the holographic anti-counterfeit code in each frame.
  • the mapping table stores a mapping relationship between different projection angles of the sample holographic anti-counterfeiting code and image characteristics of the sample holographic anti-counterfeiting code.
  • a mapping table is queried to see if there is the same projection angle as the projection angle of the holographic anti-counterfeit code. If it exists, the image characteristics and mapping table of the holographic anti-counterfeit code The image features corresponding to the middle projection angle are subjected to similarity calculation; the matching rate of the holographic anti-counterfeit code in each frame is determined according to the calculated similarity. Among them, methods such as Euclidean distance, horse distance, or cosine function can be used to calculate the similarity.
  • the embodiment of the present disclosure does not limit the specific matching process.
  • step S104 it is determined whether the verification of the holographic security code is successful according to the matching rate of the holographic security code in each frame.
  • the matching rates of all holographic anti-counterfeiting codes in the one or more frames of the video stream may be counted to determine whether the holographic anti-counterfeiting code is successfully verified.
  • the statistical matching rate may be, for example, an average matching rate of the holographic anti-counterfeit code in the one or more frames, or may be a sum of the matching rates of the holographic anti-counterfeit code in each frame.
  • other methods can also be used to calculate the matching rate.
  • the preset threshold can be set according to actual needs. For example, a preset threshold is set to 0.8. When the statistical result of the matching rate is 0.6, it can be determined that the verification of the holographic anti-counterfeiting code fails.
  • a verification result indicating whether the verification of the holographic anti-counterfeit code is successful may be generated and displayed to the user in the electronic device.
  • the verification result can be output in text form on the screen of the electronic device, such as outputting the text content "verification successful” or "verification failed".
  • the holographic anti-counterfeit code verification is successful by outputting the symbol identification “ ⁇ ”, to indicate that the holographic anti-counterfeit code verification failure is output, and so on.
  • the projection angle and image characteristics of the holographic security code in the video stream are matched in a pre-stored mapping table, and according to the matching rate of the holographic security code, it is determined whether the holographic security code is successfully verified and the accuracy is achieved.
  • the purpose of performing holographic anti-counterfeit code verification is to achieve the technical effect of automatic verification with low cost and high efficiency of holographic anti-counterfeit code verification.
  • FIG. 2 schematically illustrates a flowchart of a holographic security code verification method according to another embodiment of the present disclosure.
  • the holographic anti-counterfeit code verification method includes steps S201 to S203 in addition to the steps described in FIG. 1.
  • steps S201 to S203 in addition to the steps described in FIG. 1.
  • the steps described in FIG. 1 are omitted.
  • Steps S201 to S203 are steps for constructing a mapping table, and may be performed before step S103 described in FIG. 1, for example.
  • step S201 a plurality of sample images of the sample holographic anti-counterfeit code at different projection angles are acquired.
  • the different projection angles may include an orthographic projection angle, and the orthographic projection angle corresponds to the orthographic image.
  • the sample holographic anti-counterfeit code can be photographed at different projection angles to obtain multiple sample images of the sample holographic anti-counterfeit code at different projection angles.
  • the camera can be used to photograph the sample holographic anti-counterfeiting code.
  • the sample holographic anti-counterfeiting code can be photographed by using an image acquisition device separate from the electronic device, and then multiple sample images of the sample holographic anti-counterfeiting code at different projection angles are input into the electronic device.
  • the embodiment of the present disclosure does not limit the specific input process.
  • step S202 a plurality of sample image features corresponding to different projection angles are extracted from the plurality of sample images.
  • the extraction of image features may be implemented by a method similar to the extraction of image features of the holographic security code described in step S102.
  • computer vision can be used for feature extraction.
  • a mapping table is constructed according to the correspondence between different projection angles and a plurality of sample image features.
  • the mapping table may be stored in the electronic device for the matching process in step S103 described above.
  • a mapping table is constructed according to the corresponding relationship between different projection angles and the characteristics of multiple sample images, so that the change of the feature state of the security code with the projection angle is stored in the mapping table for subsequent use of the mapping table for Holographic security code check.
  • FIG. 3 schematically illustrates a flowchart of a holographic security code verification method according to another embodiment of the present disclosure.
  • the holographic anti-counterfeit code verification method includes steps S301 to S303 in addition to the steps described in FIG. 1.
  • steps S301 to S303 in addition to the steps described in FIG. 1.
  • the steps described in FIG. 1 are omitted.
  • Steps S301 to S303 shown in FIG. 3 are steps for determining the authenticity of the video stream, and may be performed before step S103 described in FIG. 1, for example.
  • step S301 image features of anti-counterfeit labels in multiple frames of a video stream are extracted.
  • the security label includes a holographic security code.
  • extracting the image features of the anti-counterfeit label may be implemented by using a method similar to that of extracting the image features of the holographic anti-counterfeit code described in step S102.
  • computer vision can be used for feature extraction.
  • step S302 the image features of the anti-counterfeit label in each of the multiple frames are compared with the image features of the sample holographic anti-counterfeit code stored in the mapping table to determine whether the holographic anti-counterfeit code in each of the multiple frames is Location on security label.
  • the holographic anti-counterfeiting code is located at a lower left position, a central position, a lower right position, or the like of the anti-counterfeiting label.
  • step S303 the authenticity of the video stream is determined according to changes in the position of the holographic anti-counterfeit code on the anti-counterfeit label in a plurality of frames.
  • the location may include coordinate information.
  • the position vector of the holographic anti-counterfeiting code can be calculated according to the coordinate information of the holographic anti-counterfeiting code; the position vector of the holographic anti-counterfeiting code in each frame of multiple frames and the order of each frame in the video stream are used to determine the holographic anti-counterfeiting in the video stream The position of the code changes.
  • the authenticity of the video stream is determined by changing the position of the holographic anti-counterfeit code on the anti-counterfeit label in the video stream. If the position change in the video stream is smooth and smooth, the video stream can be determined to be true. For example, if the position of two consecutive frames changes greatly, it can be determined that the video stream is forged.
  • the embodiment of the present disclosure does not limit the specific determination process.
  • steps S301 to S303 may be performed before step S102, or may be performed after step S102, or may be performed simultaneously with step S102, which is not limited in the embodiment of the present disclosure.
  • the authenticity of the video stream is determined.
  • the matching process in the subsequent step S103 need not be performed, thereby further improving the verification efficiency of the holographic anti-counterfeiting code.
  • FIG. 4 schematically illustrates a configuration block diagram of a holographic anti-counterfeit code verification device according to another embodiment of the present disclosure.
  • the apparatus 4000 may include a processing circuit 4010.
  • the processing circuit 4010 of the device 4000 provides various functions of the device 4000.
  • the processing circuit 4010 of the device 4000 may be configured to perform the holographic security code verification method described above with reference to FIG. 1.
  • the processing circuit 4010 may refer to various implementations of a digital circuit system, an analog circuit system, or a mixed signal (combination of analog and digital) circuit system that performs functions in a computing system.
  • the processing circuit may include, for example, a circuit such as an integrated circuit (IC), an application specific integrated circuit (ASIC), a portion or circuit of a separate processor core, the entire processor core, a separate processor, such as a field programmable gate array (FPGA) Programmable hardware devices, and / or systems including multiple processors.
  • IC integrated circuit
  • ASIC application specific integrated circuit
  • FPGA field programmable gate array
  • the processing circuit 4010 may include a first acquisition module 4020, a first extraction module 4030, a matching module 4040, and a first determination module 4050.
  • the first obtaining module 4020 is configured to obtain a video stream having a holographic anti-counterfeiting code at different projection angles; the first obtaining module 4030 is configured to extract the holographic anti-counterfeiting in each frame of one or more frames of the video stream Code projection angle and image feature; the matching module 4040 is configured to match the projection angle and image feature of the holographic security code in each frame in a pre-stored mapping table to obtain the The matching rate of the holographic anti-counterfeiting code is described, wherein the mapping table stores a mapping relationship between different projection angles and image features of the sample holographic anti-counterfeiting code; the first determination module 4050 is configured to perform The matching rate of the holographic security code determines whether the holographic security code is successfully verified.
  • the above modules 4020 to 4050 may be respectively configured to perform steps S101 to S104 in the holographic anti-counterfeit code verification method shown in FIG. 1.
  • the apparatus 4000 may further include a memory (not shown).
  • the memory of the device 4000 may store information generated by the processing circuit 4010 and programs and data for the operation of the device 4000.
  • the memory may be a volatile memory and / or a non-volatile memory.
  • the memory may include, but is not limited to, random access memory (RAM), dynamic random access memory (DRAM), static random access memory (SRAM), read-only memory (ROM), and flash memory.
  • RAM random access memory
  • DRAM dynamic random access memory
  • SRAM static random access memory
  • ROM read-only memory
  • flash memory flash memory
  • the apparatus 4000 may be implemented at a chip level, or may be implemented at a device level by including other external components.
  • each of the foregoing modules is only a logical module divided according to a specific function that it implements, and is not intended to limit a specific implementation manner.
  • the foregoing modules may be implemented as independent physical entities, or may be implemented by a single entity (for example, a processor (CPU or DSP, etc.), an integrated circuit, etc.).
  • the apparatus 4000 may further include: a second acquisition module 4060 configured to extract a plurality of sample image features corresponding to the different projection angles from the plurality of sample images; a second extraction module 4070, Configured to extract a plurality of sample image features corresponding to the different projection angles from the plurality of sample images; a building module 4080 configured to configure a correspondence relationship between the different projection angles and the plurality of sample image features To build the mapping table.
  • the above-mentioned modules 4060 to 4080 may be respectively configured to execute steps S201 to S203 in the holographic anti-counterfeit code verification method shown in FIG. 2.
  • the device 4000 may further include: a third extraction module 4090 configured to calculate an average matching rate of the holographic anti-counterfeit code in the one or more frames; a comparison module 4100 configured to convert all The image features of the anti-counterfeit label in each of the multiple frames are compared with the image features of the sample holographic anti-counterfeit code stored in the mapping table to determine what is in each of the multiple frames. A position of the holographic security code on the security label; a second determination module 4110 configured to determine the video stream according to a change in the position of the holographic security code on the security label in the plurality of frames; Authenticity.
  • the above-mentioned modules 4090 to 4110 may be respectively configured to perform steps S301 to S303 in the holographic anti-counterfeit code verification method shown in FIG. 3 described above.
  • the holographic anti-counterfeit code verification device of the present disclosure it is possible to realize a low-cost and high-efficiency automated holographic anti-counterfeit code verification.
  • the holographic anti-counterfeit code verification device provided in the foregoing embodiment performs the holographic anti-counterfeit code verification method
  • only the above-mentioned division of functional modules is used as an example.
  • the above functions may be allocated according to needs Completed by different functional modules, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above.
  • the holographic anti-counterfeit code verification device provided by the foregoing embodiment belongs to the same concept as the holographic anti-counterfeit code verification method embodiment, and its specific implementation process is described in the method embodiment in detail, and is not repeated here.
  • FIG. 5 illustrates an exemplary configuration of a computing device 500 that can implement an embodiment of the present invention.
  • the computing device 500 is an example of a hardware device to which the above-mentioned aspects of the present invention can be applied.
  • Computing device 500 may be any machine configured to perform processes and / or calculations.
  • the computing device 500 may be, but is not limited to, a workstation, a server, a desktop computer, a laptop computer, a tablet computer, a personal data assistant (PDA), a smart phone, an on-board computer, or a combination thereof.
  • PDA personal data assistant
  • the computing device 500 may include one or more elements that may be connected or communicated with the bus 502 via one or more interfaces.
  • the bus 502 may include, but is not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MCA) bus, an Enhanced ISA (EISA) bus, a Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus, etc.
  • Computing device 500 may include, for example, one or more processors 504, one or more input devices 506, and one or more output devices 508.
  • the one or more processors 504 may be any kind of processor, and may include, but are not limited to, one or more general-purpose processors or special-purpose processors (such as special-purpose processing chips).
  • the processor 504 may, for example, correspond to the processing circuit 4010 in FIG. 4 and is configured to implement the functions of each module of the holographic anti-counterfeit code verification device of the present disclosure.
  • the input device 506 may be any type of input device capable of inputting information to a computing device, and may include, but is not limited to, a mouse, a keyboard, a touch screen, a microphone, and / or a remote controller.
  • the output device 508 may be any type of device capable of presenting information, and may include, but is not limited to, a display, a speaker, a video / audio output terminal, a vibrator, and / or a printer.
  • the computing device 500 may also include or be connected to a non-transitory storage device 514, which may be any non-transitory storage device that can implement data storage, and may include, but is not limited to, a disk drive, optical Data can be read from storage devices, solid-state memories, floppy disks, flexible disks, hard disks, magnetic tapes or any other magnetic media, compact disks or any other optical media, cache memory and / or any other memory chips or modules, and / or computers , Instructions, and / or any other medium of code.
  • the computing device 500 may also include a random access memory (RAM) 510 and a read-only memory (ROM) 512.
  • the ROM 512 may store programs, utilities, or processes to be executed in a non-volatile manner.
  • the RAM 510 may provide volatile data storage and store instructions related to the operation of the computing device 500.
  • the computing device 500 may also include a network / bus interface 516 coupled to the data link 518.
  • the network / bus interface 516 may be any kind of device or system capable of enabling communication with external devices and / or networks, and may include, but is not limited to, a modem, a network card, an infrared communication device, a wireless communication device, and / or a chipset (such as Bluetooth TM devices, 802.11 devices, WiFi devices, WiMax devices, cellular communication facilities, etc.).
  • Solution 1 a holographic anti-counterfeiting code verification device, including:
  • One or more processors are One or more processors;
  • a memory having computer-executable instructions stored thereon, which, when executed by the one or more processors, cause the one or more processors:
  • mapping table The mapping relationship between different projection angles and image features of the sample holographic anti-counterfeit code is stored in the sample;
  • Solution 2 In the holographic anti-counterfeit code verification device of Solution 1, the computer-executable instructions, when executed by the one or more processors, cause the one or more processors to:
  • mapping table Constructing the mapping table according to the correspondence between the different projection angles and the features of the plurality of sample images.
  • Solution 3 In the holographic anti-counterfeit code verification device of item 1, determining whether the holographic anti-counterfeit code is successfully verified according to the matching rate of the holographic anti-counterfeit code in each frame includes:
  • the average matching rate is compared with a preset threshold to determine whether the holographic anti-counterfeit code is successfully verified.
  • Solution 4 In the holographic anti-counterfeit code verification device of the first solution, the video stream is obtained by shooting the holographic anti-counterfeit code by using a preset angle conversion value to change the shooting angle.
  • Solution 5 In the holographic anti-counterfeit code verification device of any one of Solutions 1 to 4, the computer-executable instructions, when executed by the one or more processors, cause the one or more processors:
  • the foregoing embodiments may be embodied as computer-readable codes on a computer-readable medium.
  • a computer-readable medium is any data storage device that can store data, which can thereafter be read by a computer system. Examples of computer-readable media include read-only memory, random-access memory, CD-ROMs, DVDs, magnetic tapes, hard drives, solid-state drives, and optical data storage devices.
  • the computer-readable medium may also be distributed among network-coupled computer systems such that the computer-readable code is stored and executed in a distributed manner.
  • Hardware circuits may include combined logic circuits, clock storage devices (such as floppy disks, flip-flops, latches, etc.), finite state machines, memories such as static random access memory or embedded dynamic random access memory, custom-designed circuits, Any combination of programmable logic arrays.

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PCT/CN2019/094394 2018-08-31 2019-07-02 一种全息防伪码校验方法及装置 WO2020042754A1 (zh)

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JP2019549445A JP6868119B2 (ja) 2018-08-31 2019-07-02 ホログラフィック偽造防止コードの検査方法及び装置
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CN110428027B (zh) * 2019-07-22 2023-06-23 杭州沃朴物联科技有限公司 基于lcd防伪标签的识别验伪方法、装置、设备及介质
CN110458583B (zh) * 2019-07-30 2022-03-11 龙军 一种防伪保真方法
CN110766753B (zh) * 2019-10-15 2023-08-18 大族激光科技产业集团股份有限公司 用于标签防伪区的定位方法、装置和打标设备
CN111027986A (zh) * 2019-12-02 2020-04-17 深圳市智微智能软件开发有限公司 防伪码验证方法及系统
CN110929828A (zh) * 2019-12-06 2020-03-27 北京金衡融创网络科技有限公司 防伪标签及其识别方法、印刷品

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102982606A (zh) * 2011-09-07 2013-03-20 深圳兆日科技股份有限公司 一种利用物理特征识别的防伪方法和系统
CN103279731A (zh) * 2013-06-06 2013-09-04 格科微电子（上海）有限公司 二维码防伪方法及其防伪验证方法
CN108230536A (zh) * 2017-12-28 2018-06-29 王道顺 一种对光可变防伪标识识别方法及装置
CN109389153A (zh) * 2018-08-31 2019-02-26 众安信息技术服务有限公司 一种全息防伪码校验方法及装置

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101860645A (zh) * 2009-04-10 2010-10-13 威海华菱光电有限公司 全息图像识别接触式图像传感器
CN101533513B (zh) * 2009-04-24 2012-12-26 天津大学 基于双视几何的图片伪造检测方法
CN102054392A (zh) * 2009-11-09 2011-05-11 郑阿奇 一种视频防伪方法
JP2012032909A (ja) * 2010-07-29 2012-02-16 Seiko Epson Corp 物体識別装置、モデルデータの登録装置、物体識別方法、物体識別プログラム、及びロボット
JP5431429B2 (ja) * 2011-09-06 2014-03-05 東芝テック株式会社 情報処理装置及びプログラム
JP6507591B2 (ja) * 2014-11-27 2019-05-08 凸版印刷株式会社 偽造防止媒体
WO2016121210A1 (ja) * 2015-01-26 2016-08-04 凸版印刷株式会社 識別装置、識別方法、識別プログラム、及び識別プログラムを含むコンピュータ可読媒体
CN111399357A (zh) * 2015-04-11 2020-07-10 安田斯研究所有限公司 影像识别方法及记录媒介
CN105046807B (zh) * 2015-07-09 2017-12-26 中山大学 一种基于智能手机的伪钞识别方法及系统
CN106599923B (zh) * 2016-12-16 2020-01-24 广州广电运通金融电子股份有限公司 一种对印防伪特征的检测方法及装置
CN108091246A (zh) * 2017-12-28 2018-05-29 苏州印象镭射科技有限公司 增强现实标签、增强现实标签的制备方法及增强现实标签的检测方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102982606A (zh) * 2011-09-07 2013-03-20 深圳兆日科技股份有限公司 一种利用物理特征识别的防伪方法和系统
CN103279731A (zh) * 2013-06-06 2013-09-04 格科微电子（上海）有限公司 二维码防伪方法及其防伪验证方法
CN108230536A (zh) * 2017-12-28 2018-06-29 王道顺 一种对光可变防伪标识识别方法及装置
CN109389153A (zh) * 2018-08-31 2019-02-26 众安信息技术服务有限公司 一种全息防伪码校验方法及装置

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112001419A (zh) * 2020-07-22 2020-11-27 李峰 一种防伪识别方法和装置
CN116092061A (zh) * 2023-04-12 2023-05-09 深圳企业云科技股份有限公司 标签验证方法和装置
CN116092061B (zh) * 2023-04-12 2023-09-22 深圳企业云科技股份有限公司 标签验证方法和装置

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