WO2017024779A1 - 一种物质防伪方法和物质防伪系统 - Google Patents

一种物质防伪方法和物质防伪系统 Download PDF

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Publication number
WO2017024779A1
WO2017024779A1 PCT/CN2016/073660 CN2016073660W WO2017024779A1 WO 2017024779 A1 WO2017024779 A1 WO 2017024779A1 CN 2016073660 W CN2016073660 W CN 2016073660W WO 2017024779 A1 WO2017024779 A1 WO 2017024779A1
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Prior art keywords
substance
identified
data
physical characteristic
paper
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PCT/CN2016/073660
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English (en)
French (fr)
Inventor
魏恺言
乔椿
王林
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深圳兆日科技股份有限公司
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Publication of WO2017024779A1 publication Critical patent/WO2017024779A1/zh

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce

Definitions

  • the present invention relates to the field of anti-counterfeiting technology, and in particular, to a material anti-counterfeiting method and a material anti-counterfeiting system.
  • the present invention provides a material anti-counterfeiting method and a substance anti-counterfeiting system for improving the anti-counterfeiting safety of a substance.
  • a first aspect of the present invention provides a material anti-counterfeiting method, including:
  • a second aspect of the present invention provides a material anti-counterfeiting system, including:
  • an infrared source and an optical imaging and data matching device
  • the infrared light source is used to output infrared rays
  • optical imaging and data matching device includes:
  • an optical imaging unit configured to: when the infrared light output by the infrared light source is irradiated on the identification area of the substance to be identified, obtain an infrared transmission image of the identification area;
  • a physical feature data extracting unit configured to extract physical characteristic data of the substance to be identified from the infrared transmission image
  • a matching identification unit configured to match the physical feature data of the substance to be identified with the pre-stored physical feature data; if the matching is successful, determine that the substance to be identified is a non-falsified substance; if the matching fails, determine the waiting Identifying a substance as a counterfeit substance;
  • the infrared transmission image on the identification area of the substance to be identified is obtained by infrared rays, and the physical characteristic data of the substance to be identified is extracted therefrom and matched with the pre-stored physical characteristic data, thereby discriminating the substance. True or false.
  • the solution of the invention utilizes the physical characteristic data of the substance to realize the anti-counterfeiting identification, and does not need to add an additional adding process to the substance in the production process of the substance, which can effectively save the production process of the substance and reduce the production cost of the substance.
  • the invention adopts infrared light as an imaging light source, so that most of the printed content containing no carbon on the material It is not present in the infrared transmission image of the substance, so that noise interference during the matching process can be effectively reduced, and the anti-counterfeiting reliability of the substance is improved.
  • FIG. 1 is a schematic flow chart of an embodiment of a material anti-counterfeiting method provided by the present invention
  • FIG. 2 is a schematic diagram of an architecture of a material anti-counterfeiting system according to an application scenario;
  • FIG. 2-b and FIG. 2-c respectively provide visible light and infrared rays for use in the present invention. a transmission image of the same area of the same check obtained by the imaging source;
  • FIG. 2-d is a reflection image collected in the same check and check area as that of FIGS. 2-b and 2-c provided by the present invention.
  • FIG. 3 is a schematic structural view of an embodiment of a material anti-counterfeiting system according to the present invention.
  • Embodiments of the present invention provide a material anti-counterfeiting method, comprising: starting an infrared light source, irradiating infrared rays output by the infrared light source on an identification area of the substance to be identified; acquiring an infrared transmission image of the identification area; Extracting physical characteristic data of the substance to be identified in the image; matching physical characteristic data of the substance to be identified with pre-stored physical feature data; if the matching is successful, determining that the substance to be identified is true; if the matching fails, determining the above
  • the substance to be identified is pseudo; wherein, the method for extracting the pre-stored physical feature data and the physical characteristic data of the substance to be identified Take the same method.
  • the embodiments of the present invention also provide a corresponding material anti-counterfeiting system, which will be described in detail below.
  • the material anti-counterfeiting method provided by the embodiment of the present invention includes:
  • the infrared light source is activated, and the infrared light output by the infrared light source is irradiated on the identification area of the substance to be identified;
  • the infrared light source when it is necessary to perform anti-counterfeiting identification on the substance, the infrared light source is activated, and the infrared light output by the infrared light source is irradiated on the identification area of the substance to be identified.
  • the above-mentioned identification area may be any area on the surface of the substance to be identified, and of course, the above-mentioned identification area needs to be consistent with the area selected by extracting physical characteristic data on the non-forgery substance in advance, for example, assuming that the non-forgery substance is previously The physical characteristic data is extracted and stored in the area A1 of A, and in the case of identifying whether a substance is a non-forgery substance A, it is also necessary to select the area A1 on the substance as the identification area.
  • the material anti-counterfeiting system may perform image acquisition on the identification area by the optical imaging device to obtain an infrared transmission image of the identification area.
  • the substance to be identified is laid flat, and the infrared transmission image of the identification area is obtained by the material anti-counterfeiting system in the vertical direction.
  • the material anti-counterfeiting system acquires the infrared transmission image of the identification area according to a predetermined magnification
  • the material security system can also acquire the infrared transmission image of the above-described authentication area according to a predetermined reduction factor or a multiple of 1:1 (i.e., without zooming in or out).
  • the reason why the infrared transmission image can be collected without magnification is that the transmission method is adopted, and the infrared transmission image formed by the light transmission is clearer, and it is no longer necessary to enlarge the multiple times to obtain a clear infrared transmission image, compared with the reflection illumination.
  • the image acquisition method of the method greatly reduces the hardware requirements of the material anti-counterfeiting system, and only needs to increase the illumination of the infrared light source to form a clear infrared transmission image.
  • the specific implementation manner of the material anti-counterfeiting system to obtain the infrared-transmitted image of the discriminating region can be implemented by referring to the existing method for acquiring an image by using a transmission method, and details are not described herein again.
  • the physical characteristic data of the substance to be identified refers to the physical characteristics of the substance itself, for example, The fiber texture, density, height and/or color, etc., for different types of substances to be identified, the material anti-counterfeiting system in the embodiment of the present invention extracts corresponding physical feature data from the infrared transmission image.
  • the paper contains a large amount of plant fibers, which are disorderly arranged in the production process, and are difficult to be artificially copied by hand.
  • the fiber texture data of a certain area can be determined on paper in advance, the fiber texture data can be used for authenticity recognition.
  • step 103 is specifically as follows: extracting the fiber texture data of the substance to be identified from the infrared transmission image, that is, when the category of the substance to be identified is paper ⁇
  • the physical feature data mentioned in the embodiments of the present invention all refer to fiber texture data.
  • the material anti-counterfeiting system preprocesses the infrared transmission image acquired in step 102, and extracts physical characteristic data of the substance to be identified from the image obtained by the pre-processing, for example, the category of the substance to be identified is For example, if the infrared transmission image of the substance to be identified is obtained, the distribution information of the fiber, the orientation, the curvature, the length, and the like of the fiber can be obtained by preprocessing the infrared transmission image, and the information can be used as the substance to be identified. The fiber texture data is extracted. Since the distribution of the fibers is a completely random process, there is no paper with the same fiber distribution.
  • the specific implementation process of the foregoing pre-processing may be implemented by referring to the prior art, and details are not described herein again.
  • the physical feature data of the substance to be identified is matched with the pre-stored physical feature data; [0044] in the embodiment of the present invention, the method for extracting the pre-stored physical feature data and the physical feature data of the substance to be identified
  • the extraction method is the same, that is, when it is necessary to perform anti-counterfeiting treatment on a certain substance (the substance is described as substance A for convenience of description), it is necessary to perform steps 101-103 on substance A through the substance anti-counterfeiting system (step 101 ⁇ )
  • the substance to be identified in 103 is replaced with substance A), and physical characteristic data of substance A is stored after extracting physical characteristic data of substance A (for example, physical characteristic data of substance A may be stored in a local database or a remote server), In order to subsequently use the stored physical property data of the substance A to identify whether the substance to be identified is the substance A.
  • the physical anti-counterfeiting system matches the physical characteristic data of the substance to be identified with the pre-stored
  • the material anti-counterfeiting system matches the physical feature data of the substance to be identified with the pre-stored physical feature data one by one, when all the physical features pre-stored If the data does not match the physical characteristic data of the substance to be identified, the matching failure is determined. When there is a physical characteristic data in the pre-stored physical feature data that matches the physical characteristic data of the substance to be identified, the matching is determined to be successful.
  • the physical relationship data of the same substance and the correspondence information of the printed information are stored in the embodiment of the present invention. It is necessary to carry out anti-counterfeiting identification for a certain substance (assumed to be substance A).
  • the substance anti-counterfeiting system acquires the printing information on the substance A before performing step 104, and searches for the substance A according to the printing information on the substance A and the pre-stored correspondence information. If the physical characteristic data corresponding to the printed information of the substance A can be found, the step 104 is performed, that is, the physical characteristic data of the substance A extracted in step 103 and the found substance A are extracted.
  • step 105 is performed. If the matching fails, step 106 is performed.
  • substance Taking the category of the substance to be identified as the paper as an example, the physical characteristic data of the paper (the paper is described as paper B for convenience of description and understanding) and the paper printing information of the paper B (for example, number) are obtained in advance by the material anti-counterfeiting system.
  • the material security system obtains the printing information (for example, number) of the paper B' through steps 101 to 103, and searches for the printing information corresponding to the paper B' according to the printing information of the paper B' and the pre-stored correspondence information.
  • step 104 is performed, that is, the physical characteristic data of the paper sheet ' extracted by step 103 and the found paper and paper B' The physical characteristic data corresponding to the printed information is matched. If the matching is successful, step 105 is performed, and if the matching fails, the execution is performed. Step 106; if not find the sheet B 'physical feature information corresponding to the printing data, it is determined sheet B' is forged material, i.e. not Paper B.
  • the material anti-counterfeiting system uses an image feature point matching algorithm and a black decontamination identification algorithm to match the physical feature data of the substance to be identified with the pre-stored physical feature data, wherein The black decontamination recognition algorithm is used to denoise the black pollution appearing in the physical feature data.
  • the black decontamination recognition algorithm is used to denoise the black pollution appearing in the physical feature data.
  • the material anti-counterfeiting system in the embodiment of the present invention can also use the image feature point matching algorithm to identify the above-mentioned to be identified.
  • the physical characteristic data of the material is matched with the pre-stored physical characteristic data, which is not limited herein.
  • the image feature point matching algorithm and the black decontamination identification algorithm in the embodiment of the present invention may be implemented by referring to the prior art, and details are not described herein again.
  • the material anti-counterfeiting system determines that the substance to be identified is a non-forgery substance.
  • the material anti-counterfeiting system outputs an indication signal, and the indication signal is used to indicate to the user that the substance to be identified is a non-forgery substance.
  • the indication signal may be one or a combination of two or more of a voice signal, a text signal, and a picture signal.
  • the substance anti-counterfeiting system determines that the substance to be identified is a counterfeit substance.
  • the material anti-counterfeiting system outputs an alarm signal, and the alarm signal is used to remind the user that the substance to be identified is a counterfeit substance.
  • the alarm signal may be one or a combination of two or more of a voice signal, a text signal, and a picture signal.
  • the category of the substance to be identified mentioned in the embodiment of the present invention may be paper, cloth sheet, plastic film, plastic card or other transparent or translucent transparent light-transmissive physical carrier.
  • the physical feature data includes, but is not limited to, one or a combination of two or more of fiber texture data, fluoroscopic feature data, density, and frequency, wherein the fluoroscopic feature data refers to further extracting from the substance by using a specific algorithm. The data obtained after processing the fiber texture data.
  • the infrared transmission image on the identification area of the substance to be identified is obtained by infrared rays, and the physical characteristic data of the substance to be identified is extracted therefrom, and the pre-stored physical characteristic data is compared. Match, to distinguish the authenticity of the substance.
  • the solution of the invention utilizes the physical characteristic data of the substance to realize the anti-counterfeiting identification, and does not need to add an additional adding process to the substance in the production process of the substance, which can effectively save the production process of the substance and reduce the production cost of the substance.
  • the invention adopts infrared rays as an imaging light source, so that most of the printed content containing no carbon on the substance is not present in the infrared transmission image of the substance, thereby effectively reducing noise interference in the matching process and improving the anti-counterfeiting reliability of the substance.
  • the material anti-counterfeiting method in the embodiment of the present invention is described in a specific application scenario.
  • the architecture of the physical anti-counterfeiting system in the embodiment of the present invention may be as shown in FIG. 2-a, including: an infrared light source 11 and optical imaging. And data matching device 12.
  • paper is taken as an example, wherein fiber texture data of one or more paper sheets is extracted and stored in advance, and the extraction method is consistent with the extraction method adopted for extracting the paper sheets to be identified as follows. As shown in FIG.
  • the paper S (cross-sectional view) to be identified is laid flat, the infrared light source 11 is disposed on one side of the paper, and the optical imaging and data matching device 12 is disposed on the other side of the paper to activate the infrared light source 11 and
  • the infrared light source 11 is caused to illuminate the discrimination area of the sheet S, the infrared transmission image of the discrimination area of the sheet S is acquired by the optical imaging and data matching device 12, and the fiber texture data of the sheet S is extracted therefrom, and the fiber texture data of the extracted sheet S is obtained.
  • Matching with the pre-stored fiber texture data if the matching is successful, it is determined that the paper S is a non-falsified substance; if the matching fails, it is determined that the paper S is a counterfeit substance.
  • the physical anti-counterfeiting system may further include a printing information collecting device, and the paper printing information on one or more kinds of papers is acquired in advance by the printing information collecting device, and the paper printing information and the fiber texture of the same paper are stored.
  • Data correspondence information wherein the paper printing information extraction method on the paper is consistent with the extraction method used to extract the paper to be identified as follows, based on the embodiment shown in FIG.
  • the paper to be identified S Laying flat and facing the front side of the sheet S (to obtain the paper printing information on the sheet S), the infrared light source 11 is disposed on the back side of the sheet S, and the printing information collecting device setting and the optical imaging and data matching device 12 are disposed at On the front side of the sheet S, the infrared light source 11 is activated and the infrared light source 11 is irradiated on the discriminating area of the sheet S, the sheet printing information of the sheet S is acquired by the printing information collecting device, and the sheet S is obtained by the optical imaging and data matching device 12.
  • the infrared transmission image obtained by the embodiment of the present invention has less noise than the image obtained by using visible light as the imaging light source, as shown in FIG. 2-b.
  • Figure 2-c shows the transmission image on the same area (set as area S) on a check obtained by using visible light and infrared light as the imaging source, as shown in Figure 2-d. Image, Obviously, Figure 2-c uses less infrared light as the imaging source to obtain less noise pollution on the transmitted image.
  • the substance after the substance is identified, the substance can be subjected to anti-counterfeiting treatment on one side of the substance, thereby simplifying the structural design of the physical anti-counterfeiting system and avoiding excessive volume of the physical anti-counterfeiting system.
  • the material anti-counterfeiting system 300 in the embodiment of the present invention includes:
  • an infrared light source 301 and an optical imaging and data matching device 302;
  • the infrared light source 301 is used to output infrared rays
  • the optical imaging and data matching device 302 includes:
  • the optical imaging unit 3021 is configured to: when the infrared light output by the infrared light source 301 is irradiated on the identification area of the substance to be identified, obtain an infrared transmission image of the identification area;
  • the physical feature data extracting unit 3022 is configured to extract physical characteristic data of the to-be-identified substance from the infrared transmission image
  • the matching and identifying unit 3023 is configured to match the physical feature data of the substance to be identified with the pre-stored physical feature data; if the matching is successful, determine that the substance to be identified is a non-falsified substance; if the matching fails, determine the above The substance to be identified is a counterfeit substance;
  • the category of the substance to be identified is a paper, and the physical characteristic data is specifically fiber texture data; the physical feature data extracting unit 3022 is specifically configured to: extract the fiber texture of the substance to be identified from the infrared transmission image. data.
  • the material anti-counterfeiting system in the embodiment of the present invention further includes: a database for storing fiber texture data of one or two substances, and a paper printing information collecting device; the database further stores: a database of the paper texture information of the paper and the paper surface printing information of the paper; the paper surface printing information collecting device is configured to: obtain the paper surface printing information of the substance to be identified; and the optical imaging and data matching device 302 further includes: a physical characteristic data searching unit, configured to search for physical characteristic data corresponding to the paper printing information of the substance to be identified from the database according to the paper printing information of the substance to be identified and the corresponding relationship information; The database finds the physical characteristic data corresponding to the paper printing information of the substance to be identified, and triggers the matching identification unit 3023 to display the physical characteristic data of the substance to be identified and the found paper printing information of the substance to be identified.
  • a physical characteristic data searching unit configured to search for physical characteristic data corresponding to the paper printing information of the substance to be identified from the database according to the paper printing information of the substance to
  • Corresponding physical feature data is matched.
  • the optical imaging and data matching device 302 is further configured to: when the physical feature data searching unit does not find the physical feature data corresponding to the paper printing information of the substance to be identified from the database, determine that the substance to be identified is forged substance.
  • the physical feature data extracting unit 3022 is specifically configured to: perform pre-processing on the infrared transmission image; and extract physical characteristic data of the substance to be identified from the image obtained by the pre-processing.
  • the matching and identifying unit 3023 is specifically configured to: use the image feature point matching algorithm and the black decontamination identification algorithm to match the physical feature data of the to-be identified substance with the pre-stored physical feature data, where the black color is gone
  • the pollution identification algorithm is used to denoise the black pollution appearing in the physical feature data.
  • the category of the substance to be identified mentioned in the embodiment of the present invention may be paper, cloth sheet, plastic film, plastic card or other transparent or translucent transparent light-transmissive physical carrier.
  • the above physical characteristic data includes, but is not limited to, fiber texture data, density, frequency, and the like.
  • the material anti-counterfeiting system in the embodiment of the present invention may be used as the material anti-counterfeiting system mentioned in the foregoing method embodiments, and may be used to implement all the technical solutions in the foregoing method embodiments, and the functions of the various functional modules may be The method in the foregoing method is specifically implemented. For the specific implementation process, reference may be made to the related description in the foregoing embodiments, and details are not described herein again.
  • the material anti-counterfeiting system acquires the infrared transmission image on the identification area of the substance to be identified by infrared rays, and extracts the physical characteristic data of the substance to be identified, and then matches the pre-stored physical characteristic data, thereby Identify the authenticity of the substance.
  • the inventive solution utilizes the substance itself
  • the physical characteristic data realizes the anti-counterfeiting identification, and does not need to add an additional adding process to the substance in the production process of the material, which can effectively save the production process of the substance and reduce the production cost of the substance; on the other hand, due to the physicality of the substance itself
  • the feature data is unique and difficult to counterfeit.
  • the present invention uses infrared rays as an imaging light source to make the substance Most of the carbon-free printed content is not present in the infrared transmission image of the substance, thereby effectively reducing noise interference during the matching process and improving the anti-counterfeiting reliability of the substance.
  • the disclosed apparatus and method may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the above units is only a logical function division, and the actual implementation may have another division manner, for example, multiple units or components may be combined or may be Integration into another system, or some features can be ignored, or not executed.
  • the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be electrical, mechanical or otherwise.
  • the unit described as a separate component may or may not be physically distributed, and the component displayed as a unit may or may not be a physical unit, that is, may be located in one place, or may be distributed to multiple On the network unit. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
  • the technical solution of the present invention may contribute to the prior art or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium.
  • a number of instructions are included to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention.
  • the media includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, random access memory), disk or optical disk and other media that can store program code.

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Abstract

一种物质防伪方法和物质防伪系统(300)。该物质防伪方法包括:启动红外光源(301),将所述红外光源(301)输出的红外线照射在待鉴别物质的鉴别区域上(101);获取所述鉴别区域的红外线透射图像(102);从所述红外线透射图像中提取所述待鉴别物质的物理特征数据(103);将所述待鉴别物质的物理特征数据与预存的物理特征数据进行匹配(104);若匹配成功,则判定所述待鉴别物质为非伪造物质(105);若匹配失败,则判定所述待鉴别物质为伪造物质(106);其中,所述预存的物理特征数据的提取方法与所述待鉴别物质的物理特征数据的提取方法相同。该技术方案能够有效提高物质的防伪安全性。

Description

一种物质防伪方法和物质防伪系统 技术领域
[0001] 本发明涉及防伪技术领域, 具体涉及一种物质防伪方法和物质防伪系统。
背景技术
[0002] 目前, 纸张防伪在防伪技术中仍然占据重要地位。
[0003] 传统的纸张防伪技术主要都是通过加入特殊控制的原料或者特别纸张, 通过对 原料或相关技术的严格控制来达到防伪的目的, 例如在纸张中添加荧光材料以 实现对物理特征的独特化, 荧光材料大部分都是涂布在成纸的表面或者混入油 墨中在纸面进行印刷, 使纸张的某些区域或者特殊位置具有荧光效果。
[0004] 然而, 额外采用一定的物理特征原料或技术控制来实现纸张防伪吋, 需要较高 要求的加工工艺, 对生产的成本和技术水平要求高, 其实现的系统化要求复杂 , 需要对传统的造纸工艺增加额外的添加过程, 工艺过于复杂, 同吋增加纸张 的成本。 并且, 上述纸张防伪技术也容易被仿制, 随着科技的进步, 一个工艺 的独有性几乎是不可能的, 仿冒者同样可以通过其它途径获得相关物理特征原 料和技术。
[0005] 显然, 传统的纸张防伪技术还有待改进, 如何实现更安全的纸张防伪成为业内 一直关注和探讨的问题。
技术问题
[0006] 本发明提供一种物质防伪方法和物质防伪系统, 用于提高物质的防伪安全性。
问题的解决方案
技术解决方案
[0007] 本发明第一方面提供一种物质防伪方法, 包括:
[0008] 启动红外光源, 将上述红外光源输出的红外线照射在待鉴别物质的鉴别区域上 [0009] 获取上述鉴别区域的红外线透射图像;
[0010] 从上述红外线透射图像中提取上述待鉴别物质的物理特征数据; [0011] 将上述待鉴别物质的物理特征数据与预存的物理特征数据进行匹配;
[0012] 若匹配成功, 则判定上述待鉴别物质为非伪造物质;
[0013] 若匹配失败, 则判定上述待鉴别物质为伪造物质;
[0014] 其中, 上述预存的物理特征数据的提取方法与上述待鉴别物质的物理特征数据 的提取方法相同。
[0015] 本发明第二方面提供一种物质防伪系统, 包括:
[0016] 红外光源, 以及光学成像及数据匹配装置;
[0017] 其中, 上述红外光源用于输出红外线;
[0018] 上述光学成像及数据匹配装置包括:
[0019] 光学成像单元, 用于当上述红外光源输出的红外线照射在待鉴别物质的鉴别区 域上吋, 获取上述鉴别区域的红外线透射图像;
[0020] 物理特征数据提取单元, 用于从上述红外线透射图像中提取上述待鉴别物质的 物理特征数据;
[0021] 匹配鉴别单元, 用于将上述待鉴别物质的物理特征数据与预存的物理特征数据 进行匹配; 若匹配成功, 则判定上述待鉴别物质为非伪造物质; 若匹配失败, 则判定上述待鉴别物质为伪造物质;
[0022] 其中, 上述预存的物理特征数据的提取方法与上述待鉴别物质的物理特征数据 的提取方法相同。
发明的有益效果
有益效果
[0023] 由上可见, 本发明方案中通过红外线获取待鉴别物质鉴别区域上的红外线透射 图像, 并从中提取待鉴别物质的物理特征数据后与预存的物理特征数据进行匹 配, 以此判别物质的真伪。 一方面, 本发明方案利用了物质自身的物理特征数 据实现防伪鉴别, 在该物质生产过程中不需要对该物质增加额外的添加过程, 能够有效节省该物质的生产工艺, 降低该物质的生产成本; 另一方面, 由于物 质自身的物理特征数据具有唯一性且难以仿造, 因此, 能够避免仿冒者通过模 仿物质的生产工艺来仿制物质, 从而能够有效提高物质的防伪安全性; 再一方 面, 本发明方案采用红外线作为成像光源, 使得物质上多数不含碳的印刷内容 在该物质的红外线透射图像中不呈现, 从而能够有效减少匹配过程中的噪声干 扰, 提高物质的防伪可靠性。
对附图的简要说明
附图说明
[0024] 为了更清楚地说明本发明实施例或现有技术中的技术方案, 下面将对实施例或 现有技术描述中所需要使用的附图作简单地介绍, 显而易见地, 下面描述中的 附图仅仅是本发明的一些实施例, 对于本领域普通技术人员来讲, 在不付出创 造性劳动性的前提下, 还可以根据这些附图获得其他的附图。
[0025] 图 1为本发明提供的一种物质防伪方法一个实施例流程示意图;
[0026] 图 2-a为本发明提供的一种物质防伪系统在一种应用场景下的架构示意图; [0027] 图 2-b和图 2-c分别为本发明提供的采用可见光和红外线作为成像光源获取到的 同一支票同一区域的透射图像;
[0028] 图 2-d为本发明提供的在与图 2-b和图 2-c相同的支票和支票区域采集到的反射图 像;
[0029] 图 3为本发明提供的一种物质防伪系统一个实施例结构示意图。
本发明的实施方式
[0030] 为使得本发明的发明目的、 特征、 优点能够更加的明显和易懂, 下面将结合本 发明实施例中的附图, 对本发明实施例中的技术方案进行清楚、 完整地描述, 显然, 所描述的实施例仅仅是本发明一部分实施例, 而非全部实施例。 基于本 发明中的实施例, 本领域普通技术人员在没有做出创造性劳动前提下所获得的 所有其他实施例, 都属于本发明保护的范围。
[0031] 本发明实施例提供一种物质防伪方法, 包括: 启动红外光源, 将上述红外光源 输出的红外线照射在待鉴别物质的鉴别区域上; 获取上述鉴别区域的红外线透 射图像; 从上述红外线透射图像中提取上述待鉴别物质的物理特征数据; 将上 述待鉴别物质的物理特征数据与预存的物理特征数据进行匹配; 若匹配成功, 则判定上述待鉴别物质为真; 若匹配失败, 则判定上述待鉴别物质为伪; 其中 , 上述预存的物理特征数据的提取方法与上述待鉴别物质的物理特征数据的提 取方法相同。 本发明实施例还提供相应的物质防伪系统, 以下分别进行详细说 明。
[0032] 下面对本发明实施例提供的一种物质防伪方法进行描述, 请参阅图 1, 本发明 实施例中的物质防伪方法包括:
[0033] 101、 启动红外光源, 将上述红外光源输出的红外线照射在待鉴别物质的鉴别 区域上;
[0034] 本发明实施例中, 当需要对物质进行防伪鉴别吋, 启动红外光源, 将上述红外 光源输出的红外线照射在待鉴别物质的鉴别区域上。 其中, 上述鉴别区域可以 是待鉴别物质表面上的任一区域, 当然, 上述鉴别区域需与预先在非伪造物质 上提取物理特征数据吋所选择的区域一致, 举例说明, 假设预先在非伪造物质 A 的区域 Al上提取并存储了物理特征数据, 则在鉴别某一物质是否为非伪造物质 A 吋, 也需要选取该物质上的区域 A1作为鉴别区域。
[0035] 102、 获取上述鉴别区域的红外线透射图像;
[0036] 本发明实施例中, 物质防伪系统可以通过光学成像装置对上述鉴别区域进行图 像采集, 获取上述鉴别区域的红外线透射图像。
[0037] 可选的, 为了进一步提高防伪准确性, 将待鉴别物质进行平放, 由物质防伪系 统在垂直方向上获取上述鉴别区域的红外线透射图像。
[0038] 可选的, 物质防伪系统按照预定放大倍数获取上述鉴别区域的红外线透射图像
。 当然, 物质防伪系统也可以按照预定缩小倍数或者以 1 : 1的倍数 (即不放大 也不缩小) 获取上述鉴别区域的红外线透射图像。 之所以可以不放大进行红外 线透射图像的采集, 原因在于采用透射方式吋, 透光形成的红外线透射图像更 清晰, 不再需要一定放大多少倍数才能够得到清晰的红外线透射图像, 相比采 用反射照射方式的图像采集, 对物质防伪系统的硬件要求大大降低, 只需提高 红外光源的光照度即可形成清晰的红外线透射图像。
[0039] 具体的, 物质防伪系统获取上述鉴别区域的红外线透射图像的具体实现方式可 以参照已有的通过透射方式获取图像的方式实现, 此处不再赘述。
[0040] 103、 从上述红外线透射图像中提取上述待鉴别物质的物理特征数据;
[0041] 本发明实施例中, 待鉴别物质的物理特征数据是指物质自身的物理特征, 例如 其纤维纹理、 密度、 高度和 /或颜色等, 针对不同类别的待鉴别物质, 本发明实 施例中物质防伪系统从上述红外线透射图像中提取相应的物理特征数据。 以待 鉴别物质的类别为纸张为例, 纸张中含有大量的植物纤维, 这些纤维在生产过 程中是无序排列的, 并且很难通过人工进行批量仿制的。 即使通过油墨打印, 也没有分辨率足够大到可以克隆放大情况下的物理特征; 即便有足够的打印分 辨率, 可以在有限区域内打印出纤维的形态, 由于本发明采用红外线透射光, 采集到的红外线透射图像也将是伪造纸张本身的纤维纹理数据和仿造的纤维纹 理数据的综合, 单纯打印的纤维纹理数据是不可能和原始的真的纸张的纤维纹 理数据相同的。 如果能够提前在纸张上确定某个区域的纤维纹理数据, 就可以 利用该纤维纹理数据进行真伪识别。 因此, 本发明实施例中, 当待鉴别物质的 类别为纸张吋, 步骤 103具体表现为: 从上述红外线透射图像中提取上述待鉴别 物质的纤维纹理数据, 即当待鉴别物质的类别为纸张吋, 本发明实施例中提及 的物理特征数据均是指纤维纹理数据。
[0042] 可选的, 物质防伪系统对步骤 102获取到的红外线透射图像进行预处理, 从预 处理后得到的图像中提取上述待鉴别物质的物理特征数据, 比如, 以待鉴别物 质的类别为纸张为例, 在得到待鉴别物质的红外线透射图像后, 通过对该红外 线透射图像进行预处理即可以获得纤维的分布信息, 纤维的走向、 弯曲度、 长 短等等, 这些信息可以作为待鉴别物质的纤维纹理数据进行提取。 因为纤维的 分布是全随机过程, 因此就不存在纤维分布相同的纸张。 其中, 上述预处理的 具体实现过程可以参照已有技术实现, 此处不再赘述。
[0043] 104、 将上述待鉴别物质的物理特征数据与预存的物理特征数据进行匹配; [0044] 本发明实施例中, 上述预存的物理特征数据的提取方法与上述待鉴别物质的物 理特征数据的提取方法相同, 即, 当需要对某一物质 (为便于描述, 将该物质 描述为物质 A) 进行防伪处理吋, 需要先通过物质防伪系统对物质 A执行步骤 101 -103 (将步骤 101~103中的待鉴别物质替换为物质 A) , 在提取物质 A的物理特 征数据之后存储物质 A的物理特征数据 (例如, 可以将物质 A的物理特征数据存 储在本地数据库或者远端服务器中) , 以便后续利用存储的物质 A的物理特征数 据来鉴别待鉴别物质是否为物质 A。 [0045] 本发明实施例中, 物质防伪系统将上述待鉴别物质的物理特征数据与预存的物 理特征数据进行匹配, 若匹配成功, 则执行步骤 105, 若匹配失败, 则执行步骤 106。
[0046] 在一种应用场景中, 当预存的物理特征数据有两个以上吋, 物质防伪系统将上 述待鉴别物质的物理特征数据与预存的物理特征数据逐一进行匹配, 当预存的 所有物理特征数据都与上述待鉴别物质的物理特征数据不匹配吋, 判定匹配失 败, 当预存的物理特征数据中存在一物理特征数据与上述待鉴别物质的物理特 征数据匹配吋, 判定匹配成功。
[0047] 在另一种应用场景中, 本发明实施例中除了还预先获取所存的物理特征数据对 应的物质上的印刷信息, 并存储同一物质的物理特征数据和印刷信息的对应关 系信息, 当需要对某一物质 (假设为物质 A) 进行防伪鉴别吋, 物质防伪系统在 执行步骤 104之前获取物质 A上的印刷信息, 根据物质 A上的印刷信息以及预存的 对应关系信息査找与物质 A的印刷信息对应的物理特征数据, 如果能够査找到与 物质 A的印刷信息对应的物理特征数据, 则执行步骤 104, 即, 将步骤 103提取的 物质 A的物理特征数据与査找到的与物质 A的印刷信息对应的物理特征数据进行 匹配, 若匹配成功, 则执行步骤 105, 若匹配失败, 则执行步骤 106; 如果査找 不到与物质 A的印刷信息对应的物理特征数据, 则判定物质 A为伪造物质。 以待 鉴别物质的类别为纸张为例, 预先通过物质防伪系统获取该纸张 (为便于描述 和理解, 将该纸张描述为纸张 B) 的物理特征数据和纸张 B的纸面印刷信息 (例 如编号) , 并将纸张 B的物理特征数据、 纸张 B的物理特征数据和纸面印刷信息 的对应关系信息存储在数据库中, 当需要鉴别某一纸张 (为便于描述和理解, 将该纸张描述为纸张 Β') 是否为纸张 Β吋, 物质防伪系统通过步骤 101~103获取 纸张 B'的印刷信息 (例如编号) , 根据纸张 B'的印刷信息以及预存的对应关系 信息査找与纸张 B'的印刷信息对应的物理特征数据, 如果能够査找到与纸张 B' 的印刷信息对应的物理特征数据, 则执行步骤 104, 即, 将步骤 103提取的纸张 Β '的物理特征数据与査找到的与纸张 B'的印刷信息对应的物理特征数据进行匹配 , 若匹配成功, 则执行步骤 105, 若匹配失败, 则执行步骤 106; 如果査找不到 与纸张 B'的印刷信息对应的物理特征数据, 则判定纸张 B'为伪造物质, 即不为 纸张 B。
[0048] 可选的, 在本发明实施例中, 物质防伪系统采用图像特征点匹配算法和黑色去 污染识别算法对上述待鉴别物质的物理特征数据与预存的物理特征数据进行匹 配, 其中, 上述黑色去污染识别算法用于对物理特征数据中出现的黑色污染进 行去噪处理。 当然, 由于本发明实施例中采用红外线作为成像光源, 获取到的 红外线透射图像中的噪声污染很少, 因此, 本发明实施例中物质防伪系统也可 以仅采用图像特征点匹配算法对上述待鉴别物质的物理特征数据与预存的物理 特征数据进行匹配, 此处不作限定。 具体的, 本发明实施例中的图像特征点匹 配算法和黑色去污染识别算法可以参照已有技术实现, 此处不再赘述。
[0049] 105、 判定上述待鉴别物质为非伪造物质;
[0050] 本发明实施例中, 当步骤 104匹配成功吋, 物质防伪系统判定上述待鉴别物质 为非伪造物质。
[0051] 可选的, 物质防伪系统输出指示信号, 该指示信号用于向用户指示该待鉴别物 质为非伪造物质。 具体的, 该指示信号可以为语音信号、 文字信号、 图片信号 中的一种或两种以上组合。
[0052] 106、 判定上述待鉴别物质为伪造物质;
[0053] 本发明实施例中, 当步骤 104匹配失败吋, 物质防伪系统判定上述待鉴别物质 为伪造物质。
[0054] 可选的, 物质防伪系统输出报警信号, 该报警信号用于提醒用户该待鉴别物质 为伪造物质。 具体的, 该报警信号可以为语音信号、 文字信号、 图片信号中的 一种或两种以上组合。
[0055] 需要说明的是, 本发明实施例中提及的待鉴别物质的类别可以是纸张、 布片、 塑料膜、 塑料卡片或其它透明或半透明的可透光的物理载体。 上述物理特征数 据包括但不限于纤维纹理数据、 透视图像特征数据、 密度和频率中的一种或两 种以上的组合, 其中, 上述透视图像特征数据是指利用特定算法进一步对从物 质上提取到的纤维纹理数据进行处理后得到的数据。
[0056] 由上可见, 本发明方案中通过红外线获取待鉴别物质鉴别区域上的红外线透射 图像, 并从中提取待鉴别物质的物理特征数据后与预存的物理特征数据进行匹 配, 以此判别物质的真伪。 一方面, 本发明方案利用了物质自身的物理特征数 据实现防伪鉴别, 在该物质生产过程中不需要对该物质增加额外的添加过程, 能够有效节省该物质的生产工艺, 降低该物质的生产成本; 另一方面, 由于物 质自身的物理特征数据具有唯一性且难以仿造, 因此, 能够避免仿冒者通过模 仿物质的生产工艺来仿制物质, 从而能够有效提高物质的防伪安全性; 再一方 面, 本发明方案采用红外线作为成像光源, 使得物质上多数不含碳的印刷内容 在该物质的红外线透射图像中不呈现, 从而能够有效减少匹配过程中的噪声干 扰, 提高物质的防伪可靠性。
[0057] 下面以一具体应用场景对本发明实施例中的物质防伪方法进行描述, 本发明实 施例中的物理防伪系统的架构图可以参照图 2-a所示, 包括: 红外光源 11和光学 成像及数据匹配装置 12。 本发明实施例中以纸张为例, 其中, 以预先提取并存 储一种或多种纸张的纤维纹理数据, 该提取方法与如下提取待鉴别纸张吋所采 用的提取方法一致。 如图 2-a所示, 将待鉴别纸张 S (剖面图) 平放, 红外光源 11 设置在纸张的一侧, 光学成像及数据匹配装置 12设置于纸张的另一侧, 启动红 外光源 11并使得红外光源 11照射在纸张 S的鉴别区域, 通过光学成像及数据匹配 装置 12获取纸张 S的鉴别区域的红外线透射图像, 并从中提取纸张 S的纤维纹理 数据, 将提取的纸张 S的纤维纹理数据与预存的纤维纹理数据进行匹配, 若匹配 成功, 则判定纸张 S为非伪造物质; 若匹配失败, 则判定纸张 S为伪造物质。
[0058] 进一步, 物理防伪系统还可以包括印刷信息采集装置, 则预先通过该印刷信息 采集装置获取一种或多种纸张上的纸面印刷信息, 并存储同一纸张的纸面印刷 信息和纤维纹理数据的对应关系信息, 其中, 纸张上的纸面印刷信息提取方法 与与如下提取待鉴别纸张吋所采用的提取方法一致, 在图 2-a所示实施例的基础 上, 将待鉴别纸张 S平放且使得纸张 S的正面朝上 (以便获取纸张 S上的纸面印刷 信息) , 红外光源 11设置在纸张 S的背面一侧, 印刷信息采集装置设置和光学成 像及数据匹配装置 12设置在纸张 S的正面一侧, 启动红外光源 11并使得红外光源 11照射在纸张 S的鉴别区域, 通过印刷信息采集装置获取纸张 S的纸面印刷信息 , 通过光学成像及数据匹配装置 12获取纸张 S的鉴别区域的红外线透射图像, 并 从中提取纸张 S的纤维纹理数据, 査找与纸张 S的纸面印刷信息对应的纤维纹理 数据, 若査找不到, 则判定纸张 S为伪造物质, 若査找到, 则将提取的纸张 S的 纤维纹理数据与査找到的纤维纹理数据进行匹配, 若匹配成功, 则判定纸张 S为 非伪造物质; 若匹配失败, 则判定纸张 s为伪造物质。
[0059] 需要说明的是, 由于本发明实施例采用了红外线作为成像光源, 因此本发明实 施例获得的红外线透射图像相对于采用可见光作为成像光源获取的图像噪声更 少, 如图 2-b和图 2-c为分别采用可见光和采用红外线作为成像光源获取到的一支 票上同一区域 (设为区域 S) 上的透射图像, 如图 2-d为采集到的该支票上区域 S 上的反射图像, 显然, 图 2-c采用红外线作为成像光源获取到的透射图像上的噪 声污染更少。 因此, 本发明实施例中在对物质进行鉴别吋, 只需在物质的一面 对该物质进行防伪处理, 从而能够简化物理防伪系统的结构设计, 避免物理防 伪系统的体积过大。
[0060] 下面以另一实施例对本发明实施例中物质防伪系统进行描述, 请参阅图 3, 本 发明实施例中的物质防伪系统 300包括:
[0061] 红外光源 301, 以及光学成像及数据匹配装置 302;
[0062] 其中, 红外光源 301用于输出红外线;
[0063] 光学成像及数据匹配装置 302包括:
[0064] 光学成像单元 3021, 用于当红外光源 301输出的红外线照射在待鉴别物质的鉴 别区域上吋, 获取上述鉴别区域的红外线透射图像;
[0065] 物理特征数据提取单元 3022, 用于从上述红外线透射图像中提取上述待鉴别物 质的物理特征数据;
[0066] 匹配鉴别单元 3023, 用于将上述待鉴别物质的物理特征数据与预存的物理特征 数据进行匹配; 若匹配成功, 则判定上述待鉴别物质为非伪造物质; 若匹配失 败, 则判定上述待鉴别物质为伪造物质;
[0067] 其中, 上述预存的物理特征数据的提取方法与上述待鉴别物质的物理特征数据 的提取方法相同。
[0068] 可选的, 上述待鉴别物质的类别为纸张, 上述物理特征数据具体为纤维纹理数 据; 物理特征数据提取单元 3022具体用于: 从上述红外线透射图像中提取上述 待鉴别物质的纤维纹理数据。 [0069] 可选的, 本发明实施例中的物质防伪系统还包括: 用于存储一种或两种以上物 质的纤维纹理数据的数据库, 以及纸面印制信息采集装置; 上述数据库还存储 : 纸张的纤维纹理数据与上述纸张的纸面印制信息的数据库; 上述纸面印制信 息采集装置用于: 获取上述待鉴别物质的纸面印制信息; 光学成像及数据匹配 装置 302还包括: 物理特征数据査找单元, 用于根据上述待鉴别物质的纸面印制 信息以及上述对应关系信息, 从上述数据库中査找与上述待鉴别物质的纸面印 制信息对应的物理特征数据; 若从上述数据库査找到与上述待鉴别物质的纸面 印制信息对应的物理特征数据, 则触发匹配鉴别单元 3023将上述待鉴别物质的 物理特征数据与査找到的与上述待鉴别物质的纸面印制信息对应的物理特征数 据进行匹配。 光学成像及数据匹配装置 302还用于: 当上述物理特征数据査找单 元从上述数据库中査找不到与上述待鉴别物质的纸面印制信息对应的物理特征 数据吋, 判定上述待鉴别物质为伪造物质。
[0070] 可选的, 物理特征数据提取单元 3022具体用于: 对上述红外线透射图像进行预 处理; 从预处理后得到的图像中提取上述待鉴别物质的物理特征数据。
[0071] 可选的, 匹配鉴别单元 3023具体用于: 采用图像特征点匹配算法和黑色去污染 识别算法对上述待鉴别物质的物理特征数据与预存的物理特征数据进行匹配, 其中, 上述黑色去污染识别算法用于对物理特征数据中出现的黑色污染进行去 噪处理。
[0072] 需要说明的是, 本发明实施例中提及的待鉴别物质的类别可以是纸张、 布片、 塑料膜、 塑料卡片或其它透明或半透明的可透光的物理载体。 上述物理特征数 据包括但不限于纤维纹理数据、 密度和频率等。
[0073] 应理解, 本发明实施例中的物质防伪系统可以如上述方法实施例中提及的物质 防伪系统, 可以用于实现上述方法实施例中的全部技术方案, 其各个功能模块 的功能可以根据上述方法实施例中的方法具体实现, 其具体实现过程可参照上 述实施例中的相关描述, 此处不再赘述。
[0074] 由上可见, 本发明方案中物质防伪系统通过红外线获取待鉴别物质鉴别区域上 的红外线透射图像, 并从中提取待鉴别物质的物理特征数据后与预存的物理特 征数据进行匹配, 以此判别物质的真伪。 一方面, 本发明方案利用了物质自身 的物理特征数据实现防伪鉴别, 在该物质生产过程中不需要对该物质增加额外 的添加过程, 能够有效节省该物质的生产工艺, 降低该物质的生产成本; 另一 方面, 由于物质自身的物理特征数据具有唯一性且难以仿造, 因此, 能够避免 仿冒者通过模仿物质的生产工艺来仿制物质, 从而能够有效提高物质的防伪安 全性; 再一方面, 本发明方案采用红外线作为成像光源, 使得物质上多数不含 碳的印刷内容在该物质的红外线透射图像中不呈现, 从而能够有效减少匹配过 程中的噪声干扰, 提高物质的防伪可靠性。
[0075] 在本申请所提供的几个实施例中, 应该理解到, 所揭露的装置和方法, 可以通 过其它的方式实现。 例如, 以上所描述的装置实施例仅仅是示意性的, 例如, 上述单元的划分, 仅仅为一种逻辑功能划分, 实际实现吋可以有另外的划分方 式, 例如多个单元或组件可以结合或者可以集成到另一个系统, 或一些特征可 以忽略, 或不执行。 另一点, 所显示或讨论的相互之间的耦合或直接耦合或通 信连接可以是通过一些接口, 装置或单元的间接耦合或通信连接, 可以是电性 , 机械或其它的形式。
[0076] 所述作为分离部件说明的单元可以是或者也可以不是物理上分幵的, 作为单元 显示的部件可以是或者也可以不是物理单元, 即可以位于一个地方, 或者也可 以分布到多个网络单元上。 可以根据实际的需要选择其中的部分或者全部单元 来实现本实施例方案的目的。
[0077] 另外, 在本发明各个实施例中的各功能单元可以集成在一个处理单元中, 也可 以是各个单元单独物理存在, 也可以两个或两个以上单元集成在一个单元中。 上述集成的单元既可以采用硬件的形式实现, 也可以采用软件功能单元的形式 实现。
[0078] 所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用 吋, 可以存储在一个计算机可读取存储介质中。 基于这样的理解, 本发明的技 术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分 可以以软件产品的形式体现出来, 该计算机软件产品存储在一个存储介质中, 包括若干指令用以使得一台计算机设备 (可以是个人计算机, 服务器, 或者网 络设备等) 执行本发明各个实施例所述方法的全部或部分步骤。 而前述的存储 介质包括: U盘、 移动硬盘、 只读存储器 (ROM, Read-Only Memory) 、 随机 存取存储器 (RAM, Random Access Memory) 、 磁碟或者光盘等各种可以存储 程序代码的介质。
[0079] 需要说明的是, 对于前述的各方法实施例, 为了简便描述, 故将其都表述为一 系列的动作组合, 但是本领域技术人员应该知悉, 本发明并不受所描述的动作 顺序的限制, 因为依据本发明, 某些步骤可以采用其它顺序或者同吋进行。 其 次, 本领域技术人员也应该知悉, 说明书中所描述的实施例均属于优选实施例 , 所涉及的动作和模块并不一定都是本发明所必须的。
[0080] 在上述实施例中, 对各个实施例的描述都各有侧重, 某个实施例中没有详述的 部分, 可以参见其它实施例的相关描述。
[0081] 以上为对本发明所提供的一种物质防伪方法和物质防伪系统的描述, 对于本领 域的一般技术人员, 依据本发明实施例的思想, 在具体实施方式及应用范围上 均会有改变之处, 综上, 本说明书内容不应理解为对本发明的限制。

Claims

权利要求书
[权利要求 1] 一种物质防伪方法, 其特征在于, 包括:
启动红外光源, 将所述红外光源输出的红外线照射在待鉴别物质的鉴 别区域上;
获取所述鉴别区域的红外线透射图像;
从所述红外线透射图像中提取所述待鉴别物质的物理特征数据; 将所述待鉴别物质的物理特征数据与预存的物理特征数据进行匹配; 若匹配成功, 则判定所述待鉴别物质为非伪造物质;
若匹配失败, 则判定所述待鉴别物质为伪造物质; 其中, 所述预存的物理特征数据的提取方法与所述待鉴别物质的物理 特征数据的提取方法相同。
[权利要求 2] 根据权利要求 1所述的方法, 其特征在于, 所述待鉴别物质的类别为 纸张, 所述物理特征数据具体为纤维纹理数据; 所述从所述红外线透射图像中提取所述待鉴别物质的物理特征数据, 具体为: 从所述红外线透射图像中提取所述待鉴别物质的纤维纹理数 据。
[权利要求 3] 根据权利要求 2所述的方法, 其特征在于, 所述预存的物理特征数据 存储在数据库中, 所述数据库还存储: 纸张的纤维纹理数据与所述纸 张的纸面印制信息的对应关系信息;
所述将所述待鉴别物质的物理特征数据与预存的物理特征数据进行匹 配, 之前包括:
获取所述待鉴别物质的纸面印制信息;
根据所述待鉴别物质的纸面印制信息以及所述对应关系信息, 从所述 数据库中査找与所述待鉴别物质的纸面印制信息对应的物理特征数据 若从所述数据库中査找不到与所述待鉴别物质的纸面印制信息对应的 物理特征数据, 则判定所述待鉴别物质为伪造物质;
若从所述数据库査找到与所述待鉴别物质的纸面印制信息对应的物理 特征数据, 则执行所述将所述待鉴别物质的物理特征数据与预存的物 理特征数据进行匹配的步骤;
所述将所述待鉴别物质的物理特征数据与预存的物理特征数据进行匹 配具体为: 将所述待鉴别物质的物理特征数据与査找到的与所述待鉴 别物质的纸面印制信息对应的物理特征数据进行匹配。
[权利要求 4] 根据权利要求 1至 3任一项所述的方法, 其特征在于, 所述从所述红外 线透射图像中提取所述待鉴别物质的物理特征数据, 包括: 对所述红外线透射图像进行预处理;
从预处理后得到的图像中提取所述待鉴别物质的物理特征数据。
[权利要求 5] 根据权利要求 1至 3任一项所述的方法, 其特征在于, 所述将所述待鉴 别物质的物理特征数据与预存的物理特征数据进行匹配, 包括: 采用图像特征点匹配算法和黑色去污染识别算法对所述待鉴别物质的 物理特征数据与预存的物理特征数据进行匹配, 其中, 所述黑色去污 染识别算法用于对物理特征数据中出现的黑色污染进行去噪处理。
[权利要求 6] —种物质防伪系统, 其特征在于, 包括:
红外光源, 以及光学成像及数据匹配装置;
其中, 所述红外光源用于输出红外线;
所述光学成像及数据匹配装置包括:
光学成像单元, 用于当所述红外光源输出的红外线照射在待鉴别物质 的鉴别区域上吋, 获取所述鉴别区域的红外线透射图像;
物理特征数据提取单元, 用于从所述红外线透射图像中提取所述待鉴 别物质的物理特征数据;
匹配鉴别单元, 用于将所述待鉴别物质的物理特征数据与预存的物理 特征数据进行匹配; 若匹配成功, 则判定所述待鉴别物质为非伪造物 质; 若匹配失败, 则判定所述待鉴别物质为伪造物质;
其中, 所述预存的物理特征数据的提取方法与所述待鉴别物质的物理 特征数据的提取方法相同。
[权利要求 7] 根据权利要求 6所述的物质防伪系统, 其特征在于, 所述待鉴别物质 的类别为纸张, 所述物理特征数据具体为纤维纹理数据; 所述物理特征数据提取单元具体用于: 从所述红外线透射图像中提取 所述待鉴别物质的纤维纹理数据。
[权利要求 8] 根据权利要求 7所述的物质防伪系统, 其特征在于, 所述物质防伪系 统还包括: 用于存储一种或两种以上物质的纤维纹理数据的数据库, 以及纸面印制信息采集装置; 所述数据库还存储: 纸张的纤维纹理数 据与所述纸张的纸面印制信息的数据库;
所述纸面印制信息采集装置用于: 获取所述待鉴别物质的纸面印制信 息;
所述光学成像及数据匹配装置还包括: 物理特征数据査找单元, 用于 根据所述待鉴别物质的纸面印制信息以及所述对应关系信息, 从所述 数据库中査找与所述待鉴别物质的纸面印制信息对应的物理特征数据 ; 若从所述数据库査找到与所述待鉴别物质的纸面印制信息对应的物 理特征数据, 则触发所述匹配鉴别单元将所述待鉴别物质的物理特征 数据与査找到的与所述待鉴别物质的纸面印制信息对应的物理特征数 据进行匹配。
所述光学成像及数据匹配装置还用于: 当所述物理特征数据査找单元 从所述数据库中査找不到与所述待鉴别物质的纸面印制信息对应的物 理特征数据吋, 判定所述待鉴别物质为伪造物质。
[权利要求 9] 根据权利要求 6至 8任一项所述的物质防伪系统, 其特征在于, 所述物 理特征数据提取单元具体用于: 对所述红外线透射图像进行预处理; 从预处理后得到的图像中提取所述待鉴别物质的物理特征数据。
[权利要求 10] 根据权利要求 6至 8任一项所述的物质防伪系统, 其特征在于, 所述匹 配鉴别单元具体用于: 采用图像特征点匹配算法和黑色去污染识别算 法对所述待鉴别物质的物理特征数据与预存的物理特征数据进行匹配 , 其中, 所述黑色去污染识别算法用于对物理特征数据中出现的黑色 污染进行去噪处理。
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