WO2020191520A1 - 基于微结构检测的防伪纸质品及其制作方法和鉴别方法 - Google Patents

基于微结构检测的防伪纸质品及其制作方法和鉴别方法 Download PDF

Info

Publication number
WO2020191520A1
WO2020191520A1 PCT/CN2019/079225 CN2019079225W WO2020191520A1 WO 2020191520 A1 WO2020191520 A1 WO 2020191520A1 CN 2019079225 W CN2019079225 W CN 2019079225W WO 2020191520 A1 WO2020191520 A1 WO 2020191520A1
Authority
WO
WIPO (PCT)
Prior art keywords
image
area
paper product
paper
light
Prior art date
Application number
PCT/CN2019/079225
Other languages
English (en)
French (fr)
Inventor
谢晖
高煜
闫钰龙
Original Assignee
罗伯特·博世有限公司
谢晖
高煜
闫钰龙
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 罗伯特·博世有限公司, 谢晖, 高煜, 闫钰龙 filed Critical 罗伯特·博世有限公司
Priority to DE112019007066.5T priority Critical patent/DE112019007066T5/de
Priority to PCT/CN2019/079225 priority patent/WO2020191520A1/zh
Priority to CN201980093183.7A priority patent/CN113518997A/zh
Publication of WO2020191520A1 publication Critical patent/WO2020191520A1/zh

Links

Images

Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B42—BOOKBINDING; ALBUMS; FILES; SPECIAL PRINTED MATTER
    • B42D—BOOKS; BOOK COVERS; LOOSE LEAVES; PRINTED MATTER CHARACTERISED BY IDENTIFICATION OR SECURITY FEATURES; PRINTED MATTER OF SPECIAL FORMAT OR STYLE NOT OTHERWISE PROVIDED FOR; DEVICES FOR USE THEREWITH AND NOT OTHERWISE PROVIDED FOR; MOVABLE-STRIP WRITING OR READING APPARATUS
    • B42D25/00—Information-bearing cards or sheet-like structures characterised by identification or security features; Manufacture thereof
    • B42D25/30—Identification or security features, e.g. for preventing forgery
    • B42D25/305—Associated digital information
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B42—BOOKBINDING; ALBUMS; FILES; SPECIAL PRINTED MATTER
    • B42D—BOOKS; BOOK COVERS; LOOSE LEAVES; PRINTED MATTER CHARACTERISED BY IDENTIFICATION OR SECURITY FEATURES; PRINTED MATTER OF SPECIAL FORMAT OR STYLE NOT OTHERWISE PROVIDED FOR; DEVICES FOR USE THEREWITH AND NOT OTHERWISE PROVIDED FOR; MOVABLE-STRIP WRITING OR READING APPARATUS
    • B42D25/00—Information-bearing cards or sheet-like structures characterised by identification or security features; Manufacture thereof
    • B42D25/30—Identification or security features, e.g. for preventing forgery
    • B42D25/355—Security threads
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
    • G07D7/06—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency using wave or particle radiation
    • G07D7/12—Visible light, infrared or ultraviolet radiation
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
    • G07D7/20—Testing patterns thereon
    • G07D7/202—Testing patterns thereon using pattern matching
    • G07D7/2033—Matching unique patterns, i.e. patterns that are unique to each individual paper

Definitions

  • the present invention relates to anti-counterfeiting technology, in particular to an anti-counterfeiting paper product based on microstructure detection and a manufacturing method and identification method thereof.
  • the existing anti-counterfeiting technologies for products include the following:
  • Digital anti-counterfeiting technology uses bar codes or two-dimensional codes to give products a unique identification (ID) for anti-counterfeiting verification and traceability functions. This digital anti-counterfeiting technology is easy to be copied and has poor security.
  • the electronic supervision code anti-counterfeiting technology also requires additional phone calls for verification, which is not convenient and economical.
  • Special anti-counterfeiting technologies including holographic anti-counterfeiting, special ink anti-counterfeiting, nuclear tracking anti-counterfeiting, etc., mainly use advanced technology and equipment to produce anti-counterfeiting marks that are difficult for ordinary counterfeiters to copy, but additional equipment makes the production process more complicated and costly.
  • Texture anti-counterfeiting technology uses randomly generated natural textures as anti-counterfeiting features. This texture is physically unreproducible.
  • existing anti-counterfeiting technologies lack automatic identification capabilities and require visual recognition, or rely on additional fiber materials in the generation process. This leads to increased cost and inconvenience of production.
  • the purpose of the present invention is to provide an anti-counterfeiting paper product that not only has high anti-counterfeiting performance, but is also easy to produce and low-cost, and provides its production method and identification method to overcome the problems existing in the prior art.
  • the present invention provides an anti-counterfeiting paper product, wherein a covering layer is provided on at least one area of the surface of the paper product, and the covering layer makes the microstructure characteristics of the area appear when irradiated by light Be enhanced.
  • the cover layer is at least one of printing ink and reflective coating.
  • the microstructure feature is a paper texture feature on the surface of the paper product.
  • the present invention also provides a method for manufacturing an anti-counterfeiting paper product, which includes: arranging a covering layer on at least one area of the surface of the paper product; when the covering layer is irradiated by light, the microstructure on the area is The appearance of features is enhanced.
  • the method for making an anti-counterfeiting paper product further includes: when the area is irradiated with light, collecting an image of the area on the paper product as a first registered image; and saving the first registered image.
  • One registered image is a registered image of the area on the paper product.
  • the method for manufacturing an anti-counterfeiting paper product further includes: when the area is not illuminated with light, collecting an image of the area on the paper product as a second registered image; and saving the The second registration image.
  • the present invention also provides a method for registering anti-counterfeiting paper products, wherein a cover layer is provided on at least one area of the surface of the paper product, and the cover layer makes the area on the The appearance of the microstructure feature is enhanced; the method includes: collecting an image of the area on the paper product as a first registered image when the area is illuminated with light; and saving the first registered image.
  • the method for registering an anti-counterfeiting paper product further includes: when the area is not irradiated with light, collecting an image of the area on the paper product as a second registered image; and saving the The second registration image.
  • the present invention also provides a method for identifying an anti-counterfeiting paper product, which includes: when at least one area of the surface of the paper product is irradiated with light, collecting a first image of the area on the paper product; wherein , A covering layer is provided on the area, and the covering layer enhances the appearance of the microstructure features on the area when the covering layer is illuminated by light; comparing the first image with the first registered image of the area , Wherein the first registered image is collected when the area is illuminated with light and is stored in advance; and when it is determined that the first image is consistent with the microstructure features in the first registered image, it is determined
  • the paper products are authentic.
  • the method for identifying anti-counterfeiting paper products further includes: when the area is not illuminated with light, collecting a second image of the area on the paper product; and comparing the second image with Comparing the second registered image of the area; wherein the second registered image is collected when the area is not illuminated with light and is stored in advance; and when it is determined that the second image and the second registered When the image features in the images are consistent, and the first image is consistent with the microstructure features in the first registered image, it is determined that the paper product is a genuine product.
  • the light is emitted by a flashlight.
  • the first image and/or the second image are taken by a portable electronic device or an Internet of Things device including a camera.
  • the method for identifying anti-counterfeiting paper products further includes: using a photometric stereo vision method or an auto-encoder method to process the collected first image to extract the microscopic images on the paper product.
  • Structural features are used in the comparison step; wherein, the first registered image contains microstructure features extracted after processing using a photometric stereo vision method or an autoencoder method.
  • the authenticity of the paper product is verified by comparing the microstructure features extracted from the first image with the microstructure features contained in the first registered image.
  • a paper anti-counterfeiting label wherein at least one area of the surface of the paper anti-counterfeiting label is covered with printing ink, and the printing ink causes the The appearance of the microstructure features on the area is enhanced; wherein the printing ink is printed into at least one of a barcode and a two-dimensional code.
  • the unique microstructure features (such as paper grain features) on the surface of the paper product can be used to achieve high anti-counterfeiting performance.
  • the microstructure characteristics on the paper product are It is formed naturally in the production process and does not need to be realized by specific means. Therefore, this anti-counterfeiting paper product has the advantages of easy production and low cost.
  • Fig. 1 is an exemplary diagram of an anti-counterfeiting paper product according to an embodiment of the present invention
  • Figure 2 is a flowchart of a first embodiment of a method for manufacturing anti-counterfeiting paper products
  • Fig. 3 is a flowchart of a second embodiment of a method for making anti-counterfeiting paper products
  • Figure 4 is a flowchart of a first embodiment of a method for authenticating anti-counterfeit paper products
  • Fig. 5 is a flowchart of a second embodiment of a method for authenticating anti-counterfeiting paper products
  • Fig. 6 is a schematic diagram of an image collected by an authentication method according to an embodiment of the present invention.
  • Figures 7a-7d show the microstructure paper texture features on paper products, the normal direction of the paper surface calculated in image processing, and the reconstructed paper texture features;
  • Fig. 8 is a schematic diagram of light rays on the surface of the paper in the photometric stereo vision technology.
  • the three-dimensional microstructure (ie, paper texture feature) of the surface of the paper product is used as a security feature to reduce the cost of feature generation and collection, and at the same time improve its non-reproducibility.
  • the microstructure features exist on the surface of any paper products, including labels, documents, packaging, etc.
  • a covering layer may be provided on a certain area of the surface of the paper product.
  • the covering layer is a printed ink or a reflective coating, and both the printed ink and the reflective coating have a certain reflective ability. When irradiated with light, this covering layer can enhance the appearance of the microstructure features on the surface and become identifiable for the registration and verification of anti-counterfeiting features, which is economical and convenient.
  • the printing ink can be regular office ink, anti-counterfeiting special ink (fluorescent ink, moisture sensitive ink, etc.); reflective coating is a coating that covers a specific area on the paper with a process similar to coated paper or waxed paper.
  • the printing ink usually covers a certain area on the surface of the paper product so that the covered area contains enough micro-textures for easy identification.
  • the reflective coating is preferably a regular rectangular block, which is conducive to image acquisition.
  • the pattern of the printed ink can be a two-dimensional code, a barcode, a corporate trademark, an official seal pattern, or a solid-color rectangular block, or it can be a bold font with a larger font.
  • the light to illuminate the cover layer is usually a strong light source, such as a flashlight in ordinary photographic equipment, which can be a flashlight that meets the international standard ISO10157-1991.
  • Figure 1 shows an anti-counterfeiting paper product according to an embodiment of the present invention, in which text 1, a two-dimensional code 2 and a reflective coating coverage area 3 appear respectively (as shown in the left part of the figure).
  • the right part of FIG. 1 shows the enlarged letter "D" 11, the partial area 21 in the two-dimensional code area, and the partial area 31 of the reflective coating coverage area 3 collected under the illumination of the flashlight.
  • the letter "D" 11 and the partial areas 21 and 31 on the right of the figure show paper pattern features that can be used for anti-counterfeiting under the flashing light. In the absence of light exposure, these paper texture features cannot be revealed or are unclear (as shown in the left part of the figure).
  • the micro-structured paper texture features on the surface of paper products are produced by the random distribution of paper fibers. These paper texture features cannot be controlled during the production process and therefore cannot be imitated at all. During the paper production process, the arrangement of fibers is random and uncontrolled, and uneven three-dimensional micro-structured paper patterns are formed on the paper surface.
  • the scale of the paper texture is not enough to be directly observed in daily life, but the texture features of the microstructure covered by the printed ink or the reflective coating are enhanced under the illumination of light (such as flash) and are easier to be collected. Therefore, despite the small scale of the microstructure, additional equipment (such as a microscope) is not needed to collect its images. For example, it is sufficient to use the user's smart phone to complete the anti-counterfeiting verification through image acquisition of the microstructure, which makes the present invention more practical.
  • Printing inks can appear in many forms, so applying it to paper anti-counterfeiting will have a wide range of application scenarios. It can be used for file copy protection, and when the file appears in text form, it can be used to prevent tampering. For example, once the text is tampered with, as the paper product is replaced and the position of the printed ink may change, the microstructure characteristics of the corresponding area under light irradiation will also change, so that the tampered content can be identified.
  • the application of printing ink can also be combined with digital anti-counterfeiting technology to achieve safer anti-counterfeiting verification and traceability.
  • the microstructure features in the areas of the barcodes and two-dimensional codes covered by the printing ink can be used as security features for anti-counterfeiting.
  • the paper pattern features in the partial area 21 in the two-dimensional code (ie, quick response code) area shown in the right part of FIG. 1 can be used to identify the pseudo two-dimensional code.
  • the entire anti-counterfeiting process can be carried out separately by the manufacturer and user of the paper product.
  • the paper texture features in the same area on the surface of the paper product are extracted; then, the algorithm is used to compare the extracted paper texture features with the paper texture features of the area pre-stored by the manufacturer during the production process. To determine whether the paper product is genuine or fake.
  • a paper anti-counterfeiting label combined with a barcode and/or two-dimensional code can be provided.
  • the anti-counterfeiting label can utilize a barcode and/or two-dimensional code covered with printed ink (as shown in the two The microstructure features in the area of dimension code 2) are used as security features for anti-counterfeiting.
  • the barcode or two-dimensional code provides the ID of the product, which is used as the identity certificate for traceability and verification, and also defaults to the anti-counterfeiting feature area.
  • the paper anti-counterfeiting label may also be a paper anti-counterfeiting trademark, in which printing ink is printed as a trademark pattern on the surface of the paper product.
  • the microstructure features used for anti-counterfeiting verification on the surface of the paper product are usually located in the area covered by the printing ink (that is, the pattern of the printing ink) or the reflective coating, and printing is generally not considered. Make the area not covered by ink or reflective coating.
  • the pattern of the printed ink is a two-dimensional code or a barcode
  • the anti-counterfeiting verification is only performed on the paper pattern features in the local area covered by the printed ink, such as the letters in the character area 1 shown in Figure 1. "D" 11, a partial area 21 in the two-dimensional code area 2, or a partial area 31 in the area 3 covered by a reflective coating.
  • the paper texture feature used in the anti-counterfeiting verification is the paper texture feature in the area covered by the printing ink in the areas 11 and 21 (the dark area in FIG. 1).
  • Fig. 2 shows a flowchart of a first embodiment of a method for manufacturing an anti-counterfeiting paper product.
  • a cover layer is provided on at least one area of the surface of the paper product (step 201); when the cover layer is irradiated by light, the appearance of the microstructure features on the area is enhanced to Conducive to the extraction of microstructures; when the area is illuminated with light, an image of the area on the paper product is collected (step 202); and the image is saved (step 203) as the first registered image for verification.
  • the image may undergo image processing before being saved, for example, an image processing algorithm is used to extract the paper pattern features of the area, which is beneficial to the feature comparison in the subsequent anti-counterfeiting verification process.
  • the collection and storage of images is also referred to as a registration process; the registration process can use a camera-equipped Internet of Things device, an industrial camera, a code scanner, etc., or a smart phone can be used to complete image collection.
  • the first image containing the paper texture feature can be saved in the manufacturer's database for future anti-counterfeiting verification.
  • the registration process you can select the surface area of the paper product covered by a sufficient amount of ink or coating, use flash or auxiliary light to illuminate, use, for example, a smart phone or other image capture device to take a single image or a series of images Frame images, and then use image processing algorithms to infer them to obtain the paper texture characteristics of the area for recording.
  • the user performs the anti-counterfeiting identification of the paper product, select the same area on the surface of the paper product as the registration process (for example, according to the agreement between the manufacturer and the user), or notify the area through text prompts or software guidance user.
  • the verification process uses the same steps to infer the paper texture characteristics of the area, and compares the paper texture characteristics with the paper texture characteristics recorded during the registration process to identify whether the paper product is genuine.
  • the method for registering anti-counterfeit paper products according to the embodiments of the present invention can be executed by the manufacturer of the paper product, or can be executed by the authentication service provider as a third party, and the authentication service provider saves the registered image.
  • FIG. 4 shows a flowchart of a first embodiment of a method for authenticating an anti-counterfeiting paper product.
  • the anti-counterfeiting paper product may be made according to the embodiment of FIG. 2.
  • the user of the paper product needs to perform anti-counterfeiting verification.
  • the first image of the area on the paper product is first collected (step 401 ); Wherein, the area is provided with a covering layer to enhance the appearance of the microstructure features on the area when illuminated by light; then, for example, obtain the first registered image of the area from the database of the remote server through the network (That is, the image collected during the registration process), and then compare the collected first image with the paper texture features in the first registered image (step 402), and determine whether the first image and the paper in the first registered image Whether the grain characteristics are the same (step 403); when the first image is consistent with the paper grain characteristics in the first registered image, it is determined that the paper product is authentic (step 404); when the first image and the paper in the first registered image When the grain characteristics are inconsistent, the paper product is determined to be a fake product (step 405).
  • the error tolerance for judging consistency in the feature comparison process can be set, that is, when the similarity of feature comparison is higher than a preset threshold,
  • counterfeiters may also deceive a simple anti-counterfeiting verification system by taking pictures of paper patterns on the authentic product under light illumination. If the above-mentioned embodiment only relies on the comparison of the first image and the first registered image to determine the authenticity, it may be deceived by the forger, resulting in the failure of the anti-counterfeiting function. Considering this situation, the present invention provides an embodiment of an enhanced anti-counterfeiting technology, which is also called "living body detection". The following description is given in conjunction with FIG. 3, FIG. 5, and FIG. 6.
  • Fig. 3 shows a flowchart of a second embodiment of a method for manufacturing an anti-counterfeiting paper product. Compared with Fig. 2, steps 301-303 are the same as steps 201-203.
  • the registration process in Fig. 3 also includes: when the paper pattern characteristic area is not illuminated with light, collecting an image of the area on the paper product (step 304 ); and save the image as a second registered image for verification (step 305).
  • the second registered image can also be subjected to image processing before being saved, but usually the second image does not contain paper texture features, but contains, for example, patterns or image features (as shown in image 61 in FIG. 6).
  • the second registered image can be saved in the manufacturer's database together with the first registered image.
  • FIG. 5 shows a flowchart of a second embodiment of an authentication method for anti-counterfeiting paper products, which may be made according to the embodiment of FIG. 3.
  • steps 501-503 and 505 are the same as steps 401-403 and 405.
  • the embodiment of FIG. 5 also includes a second image of the characteristic area of the paper pattern (that is, when the area is not illuminated with light).
  • the second image of the area on the paper product is collected when the area is not illuminated by light (step 504);
  • the second image is compared with the image features of the second registered image in the area (step 506), it is determined whether the image features in the second image and the second registered image are consistent (step 507); Only when the image features in the registered images are consistent, the paper product is determined to be authentic (step 508). Otherwise, when it is determined that the image features in the second image and the second registered image are inconsistent, it is determined that the paper product is not genuine (step 509), even if the paper texture features in the first image and the first registered image are consistent.
  • FIG. 6 shows a schematic diagram of images collected by the authentication method according to an embodiment of the present invention, and these images are similar to the images collected for the partial area 21 of the two-dimensional code shown in FIG. 1.
  • Figure 6 shows the second image 61 and the first image 62 of the genuine product under the condition of no light irradiation and light irradiation, and the second image of the fake product under the condition of no light irradiation and light irradiation.
  • the second image 61 contains the pattern features of the local area of the QR code
  • the first image 62 contains the pattern features of the local area of the QR code and the paper pattern features in the area covered by the printing ink in the local area
  • images 61 and 62 They are consistent with the second registered image and the first registered image respectively.
  • the second image collected on the fake product (shown as 63 in FIG. 6) is still not in the light.
  • the first image (as shown by 64 in FIG. 6) collected under the irradiation condition is basically the same, that is, the fingerprint feature is still present. Therefore, the second image 63 collected on the counterfeit product must be inconsistent with the second image 61 (which is equivalent to the second registered image) collected by the genuine product under no light irradiation, so that the counterfeit product can be identified. Therefore, the above-mentioned embodiments shown in FIGS. 3, 5, and 6 further improve the anti-counterfeiting performance.
  • the following describes two methods for detecting micro-texture features of images collected under light irradiation.
  • the surface of the paper covered with ink or reflective coating is not exposed to light, the micro-texture features of the paper surface do not appear, as shown in Figure 7a; under a strong light source (such as a flash) Diffuse reflection no longer occurs, but a feature of high-gloss specular reflection, as shown in Figure 7b.
  • 8 shows a schematic diagram of light rays on the surface of the paper in the photometric stereo vision technology, where L is the incident light, which is emitted by a flash, N is the normal direction of the reflective point on the paper surface, and S is the reflected light. L, N, and S are coplanar, and the angle between the incident light L and the reflected light S and the normal is equal.
  • the photometric stereo vision method can be used to estimate the microstructure of the surface shape.
  • the micro-texture features are very subtle, and it is usually difficult to observe directly with the naked eye.
  • the coverage of the printed ink or reflective coating will enhance the reflection of the illuminating light intensity on the paper surface in the normal direction point by point; by reconstructing all normal directions By collecting, the micro-texture features used as anti-counterfeiting features can be obtained.
  • the position coordinate of a point on the paper plane is represented by x, and the brightness value B collected by the image is a function of x:
  • B(x) is the brightness value in the collected RGB image, which can be the V channel in the HSV color space or the L channel in the Lab color space.
  • N is the unit surface normal vector.
  • S L is the light source vector, which is emitted by the flash and is also known.
  • ⁇ (x) is the reflectivity of each point, which is a constant for uniform ink or reflective coating. Therefore, except for N(x) in the above formulas are known, N(x) can be solved by the above formula to get the normal direction of each point, as shown in Figure 7c. After the normal direction of each point is known, the continuous surface shape can be obtained by PDE (Partial Differential Equation), which is the three-dimensional structure reconstructed by the micro-texture feature under the photometric stereo vision method, as shown in Figure 7d.
  • PDE Partial Differential Equation
  • the micro-texture three-dimensional structure extracted from the verified paper product image can be compared with the registered monge patch of the micro-texture three-dimensional structure.
  • the similarity is the difference between the two Mongolian representations, which is used for judgment. For example, when the similarity is higher than a predetermined threshold, it is determined that the verified paper product is genuine.
  • the autoencoder is an unsupervised neural network model in deep learning. It is used to learn the hidden features of the input data, which is called encoding, and the learned features can be used to reconstruct the input data, which is called decoding.
  • the image collected under the flash is first input as the original image data, and then processed by the first deep neural network to obtain an intermediate layer with less data. This is the learned image feature; then, After processing by the second deep neural network, a restored image is obtained, which is roughly the same as the input image.
  • the first deep neural network is called an encoder
  • the second deep neural network is called a decoder.
  • What the middle layer gets is a high-dimensional vector whose volume is much smaller than the input image, but it contains the characteristic expression of the input image.
  • the principle of the autoencoder is to try to reduce the features through a gradually decreasing network, and then try to restore the image through a gradually increasing network, and train the weight coefficients of the codec network through a deep learning process to obtain an image that can almost completely restore the image Encoder + decoder network.
  • the coding part of this network can input an image and extract the salient features, which in this example are micro-texture features.
  • the decoding part can input a set of features and then restore the image represented by the features, but this part is not used after the training is completed.
  • Feature recognition process input the image into the encoder to obtain the micro-texture feature code, which is a smaller feature expression, which may be a vector of only 100-1000 dimensions, and then store the feature vector.
  • the micro-texture feature comparison process of the anti-counterfeiting verification process first take out the two feature vectors, calculate their Euclidean distance or Mahalanobis distance and other vector distances, and normalize them to obtain the micro-texture features of the verified paper product. The similarity between the registered micro-texture features can then be used to determine the authenticity of the verified paper product based on the similarity.

Abstract

一种防伪纸质品及其制作方法和鉴别方法。在纸质品的表面的至少一个区域(11，21，31)上设置有覆盖层，该覆盖层在被光照射时使所述区域(11，21，31)上的微结构特征的显现得到增强。该防伪纸质品既具有高防伪性能，又具有易于生产且成本低的优点。

Description

基于微结构检测的防伪纸质品及其制作方法和鉴别方法 技术领域
本发明涉及防伪技术，尤其涉及一种基于微结构检测的防伪纸质品及其制作方法和鉴别方法。
背景技术
现有的针对产品的防伪技术包括以下几种：
数字防伪技术，利用条形码或二维码来给产品一个唯一的身份识别(ID)用于防伪验证和可追溯性功能，这种数字防伪技术易于被复制，且安全性差。
电子监管码防伪技术，其还要求通过额外的电话呼叫来进行验证，这种技术不够方便和经济。
特种防伪技术，包括全息防伪、特种油墨防伪、核跟踪防伪等，主要是使用先进的技术和设备来产生普通伪造者难以复制的防伪标识，但是额外的设备使得生产过程更加复杂且成本更高。
纹理防伪技术，使用随机生成的自然纹理作为防伪特征，这种纹理是物理不可复制的，但是现有的防伪技术缺乏自动辨别能力并需要肉眼识别，或者在生成过程中依赖于额外的纤维材料，这导致成本增加和生成的不方便性。
概况而言，在现有技术中，有些防伪技术的防伪性能好，但其生产过程复杂且成本高；有些防伪技术使用方便且成本低，但是其防伪性能差，易于被复制。
发明内容
本发明的目的在于提供一种既具有高防伪性能、又易于生产及低成本的防伪纸质品，并提供其制作方法和鉴别方法，以克服现有技术存在的问题。
本发明提供一种防伪纸质品，其中，在所述纸质品的表面的至少一个区域上设置有覆盖层，所述覆盖层在被光照射时使所述区域上的微结构特征的显现得到增强。
根据本发明的实施例，所述覆盖层是印制油墨和反射涂层中的至少一种。
根据本发明的实施例，所述微结构特征是所述纸质品的表面上的纸纹特征。
本发明还提供一种制作防伪纸质品的方法，包括：在所述纸质品的表面的至少一个区域上设置覆盖层；所述覆盖层在被光照射时使所述区域上的微结构特征的显现得到增强。
根据本发明的实施例，制作防伪纸质品的方法还包括：在以光照射所述区域时，采集所述纸质品上的所述区域的图像作为第一注册图像；以及保存所述第一注册图像。
根据本发明的实施例，制作防伪纸质品的方法还包括：在未以光照射所述区域时，采集所述纸质品上的所述区域的图像作为第二注册图像；以及保存所述第二注册图像。
本发明还提供一种用于注册防伪纸质品的方法，其中，在所述纸质品的表面的至少一个区域上设置覆盖层，所述覆盖层在被光照射时使所述区域上的微结构特征的显现得到增强；所述方法包括：在以光照射所述区域时，采集所述纸质品上的所述区域的图像作为第一注册图像；以及保存所述第一注册图像。
根据本发明的实施例，注册防伪纸质品的方法还包括：在未以光照射所述区域时，采集所述纸质品上的所述区域的图像作为第二注册图像；以及保存所述第二注册图像。
本发明还提供一种鉴别防伪纸质品的方法，包括：在以光照射所述纸质品的表面的至少一个区域时，采集所述纸质品上的所述区域的第一图像；其中，所述区域上设置有覆盖层，所述覆盖层在被光照射时使所述区域上的微结构特征的显现得到增强；将所述第一图像与所述区域的第一注册图像进行比较，其中，所述第一注册图像是在以光照射所述区域时采集的并且被预先存储；以及当判断所述第一图像与所述第一注册图像中的微结构特征一致时，确定所述纸质品为真品。
根据本发明的实施例，鉴别防伪纸质品的方法还包括：在未以光照射所述区域时，采集所述纸质品上的所述区域的第二图像；将所述第二图像与所述区域的第二注册图像进行比较；其中，所述第二注册图像是在未以光照射所述区域时采集的并且被预先存储；以及当判断所述第二图像与所述第二注册图像中的图像特征一致、且所述第一图像与所述第一注册图像中的微结构特征一致时，确定所述纸质品为真品。
根据本发明的实施例，所述光是由闪光灯发出的。
根据本发明的实施例，所述第一图像和/或所述第二图像是由包含相机的便携式电子设备或物联网设备拍摄的。
根据本发明的实施例，鉴别防伪纸质品的方法还包括：利用光度立体视觉方法或自编码器方法，对采集的所述第一图像进行处理以提取所述纸质品上的所述微结构特征，以用于所述比较步骤；其中，所述第一注册图像包含利用光度立体视觉方法或自编码器方法处理后提取的微结构特征。在所述比较步骤中，通过比较从所述第一图像中提取的微结构特征与所述第一注册图像包含的微结构特征，来验证纸质品的真伪。
根据本发明的实施例，提供一种纸质防伪标签，其中，在所述纸质防伪标签的表面的至少一个区域上覆盖有印制油墨，所述印制油墨在被光照射时使所述区域上的微结构特征的显现得到增强；其中，所 述印制油墨被印制成条形码和二维码中的至少一种。
根据本发明的防伪纸质品，可以利用纸质品表面上存在的特有的微结构特征(例如纸纹特征)的难以复制性以实现高防伪性能，同时由于纸质品上的微结构特征是生产过程中自然形成的，无需以特定手段来实现，因而这种防伪纸质品具有易于生产和低成本之优点。
附图说明
图1是根据本发明实施例的一种防伪纸质品的示例图；
图2是防伪纸质品的制作方法的第一实施例的流程图；
图3是防伪纸质品的制作方法的第二实施例的流程图；
图4是防伪纸质品的鉴别方法的第一实施例的流程图；
图5是防伪纸质品的鉴别方法的第二实施例的流程图；
图6是根据本发明实施例的鉴别方法所采集的图像的示意图；
图7a-7d示出纸质品上的微结构纸纹特征、图像处理中计算的纸表面法线方向、以及重构的纸纹特征；
图8是在光度立体视觉技术中纸张表面的光线示意图。
具体实施方式
以下结合符合附图和实施例进一步说明本发明。
根据本发明的实施例，利用纸质产品表面的三维微结构(亦即纸纹特征)作为安全性特征，以降低特征生成和采集的成本，同时改善其不可复制性。微结构特征存在于任何纸质产品的表面，纸质产品包括标签、文件、包装等。在纸质产品的表面的某一区域上可设置有覆盖层，例如覆盖层为印制油墨或反射涂层，印制油墨和反射涂层都具有一定的反光能力。这种覆盖层在以光照射时可使表面上的微结构特征的呈现得以增强并变得可辨识，以用于防伪特征的注册和验证，这种方式既经济又方便。
印制油墨可以是常规的办公油墨、防伪特种油墨(荧光油墨、湿敏油墨等)；反射涂层是用类似于淋膜纸或涂蜡纸的工艺，给纸张上特定区域覆盖的涂层。印制油墨通常要覆盖纸质品表面上的一定面积，以使其覆盖区域内包含足够多的微纹理以便于识别。反射涂层则最好为规则的矩形块，有利于图像采集。印制油墨的图案可以是二维码、条形码、企业商标、公章图案、或者是一个纯色矩形块等，也可以是字体较大的粗体字。
照射覆盖层的光通常选择强光源，如普通照相设备中的闪光灯，其可以是符合国际标准ISO10157-1991的闪光灯。
图1示出根据本发明实施例的一种防伪纸质品，其中分别出现了文字1、二维码2和反射涂层覆盖区3(如图左部所示)。图1的右部示出在闪光灯照射下采集的放大的字母“D”11、二维码区域中的局部区域21和反射涂层覆盖区3的局部区域31。可以看出，图右部的字母“D”11、局部区域21和31在闪光照射下呈现出可用于防伪的纸纹特征。而在没有光照射的情况，这些纸纹特征不能显现出来或显现不清楚(如图左部所示)。
纸质品表面的微结构纸纹特征是通过纸纤维的随机分布而产生的，这些纸纹特征在生产过程中是无法控制的，因此也是完全无法仿制的。在纸生成过程中纤维的布置是随机的和不受控制的，并在纸表面上形成不均匀的三维微结构纸纹。纸纹的尺度不足以在日常生活中被直接观察到，但是被印制油墨或反射涂层覆盖的微结构纹理特征在光(例如闪光灯)照射下得到增强，并且更易于被采集。因此，尽管微结构的尺度小，也并不需要额外的设备(如显微镜)来采集其图像。例如，使用用户的智能电话就足以通过针对微结构的图像采集来完成防伪验证，这使本发明更具实用性。
印制油墨可以多种形式出现，所以将其应用于纸质品防伪将有广泛的应用场景，它可以用于文件复制保护，当文件以文字形式出现可 以用于防篡改。例如，一旦文字被篡改，由于纸质品被替换以及印制油墨的位置可能发生变化，相应区域在光照射下显现的微结构特征也会发生变化，由此可以识别出篡改内容。印制油墨的应用也可以与数字防伪技术相结合，以实现更安全的防伪验证和可追溯性。例如应用印制油墨来印制条形码和二维码时，可以利用印制油墨覆盖的条形码和二维码之区域内的微结构特征作为用于防伪的安全性特征。图1的右部示出的二维码(即快速响应码)区域中的局部区域21内的纸纹特征就可以用于识别伪二维码。
根据本发明的实施例，整个防伪过程可由纸质品的生产商和用户分别进行。在防伪验证过程中，通过提取纸质品表面的相同区域内的纸纹特征；然后，利用算法来比较所提取的纸纹特征与生产商在制作过程中预先存储的该区域的纸纹特征，以确定是否该纸质品是真品或伪品。
根据本发明的实施例，可以提供一种结合条形码和/或二维码的纸质防伪标签，该防伪标签可以利用印制油墨覆盖的条形码和/或二维码(如图1所示的二维码2)之区域内的微结构特征作为用于防伪的安全性特征。条形码或二维码提供了产品的ID，作为追溯和验证时的身份证明使用，同时也默认了防伪特征区域。当防伪标签被仿造或替换时，尽管仿造者可以仿制防伪标签上的条形码或二维码，但由于制作标签的纸张已经被替换，标签表面的微结构特征也发生了变化，因此可以识别出是仿制的防伪标签。根据该实施例，该纸质防伪标签也可以是一种纸质防伪商标，其中在纸质品表面将印制油墨印制为商标图案。
根据本发明的实施例，纸质品的表面上用于防伪验证的微结构特征通常是位于印制油墨(亦即印制油墨的图案)或反射涂层所覆盖的区域内，一般不考虑印制油墨或反射涂层未覆盖的区域。在一些情况下，例如印制油墨的图案为二维码或条形码时，只是针对印制油墨覆 盖的局部区域内的纸纹特征进行防伪验证，例如图1中所示的字符区域1中的字母“D”11、二维码区域2中的局部区域21、或反射涂层覆盖区域3中的局部区域31。在防伪验证中使用的纸纹特征是区域11和21中的印制油墨所覆盖的区域(如图1中的深色区域)内的纸纹特征。
图2示出防伪纸质品的制作方法的第一实施例的流程图。在纸质品的生产过程中，在纸质品的表面的至少一个区域上设置覆盖层(步骤201)；该覆盖层在被光照射时使该区域上的微结构特征的显现得到增强，以利于微结构的提取；在以光照射该区域时，采集纸质品上的该区域的图像(步骤202)；以及保存该图像(步骤203)，作为用于验证的第一注册图像。该图像在保存之前可以经过图像处理，例如通过图像处理算法以提取该区域的纸纹特征，从而有利于后续的防伪验证过程中的特征比较。在该实施例中，图像的采集和保存也称为注册过程；注册过程可以使用装有相机的物联网设备、工业相机、扫码枪等，也可以使用智能手机来完成图像采集。包含纸纹特征的第一图像可以保存在生产商的数据库中用于以后的防伪验证。
在注册过程中，可以选择被足够量的油墨或涂层覆盖的纸质产品的表面区域，利用闪光灯或辅助光来照亮，使用例如智能手机或其它图像采集设备来拍摄单个图像或一系列的帧图像，然后通过图像处理算法来对其进行推断，以获取该区域的纸纹特征用于记录。当用户进行纸质品的防伪鉴别时，在纸质品的表面上选择与注册过程相同的区域(例如根据生产商与用户之间的协定)，或者通过文字提示或软件指导将该区域通知给用户。验证过程使用相同的步骤来推断该区域的纸纹特征，并将该纸纹特征与注册过程中记录的纸纹特征进行比较，以识别该纸质品是否是正版的。
根据本发明的实施例的用于注册防伪纸质品的方法可以由纸质品的生产商来执行，也可以由鉴定服务提供商作为第三方来执行，并 且由鉴定服务提供商保存注册图像。
图4示出防伪纸质品的鉴别方法的第一实施例的流程图，该防伪纸质品可以是根据图2的实施例所制作的。在图4的实施例中，纸质品的用户需要进行防伪验证，则在以光照射纸质品的表面的至少一个区域时，先采集纸质品上的该区域的第一图像(步骤401)；其中，该区域上设置有覆盖层，用于在被光照射时使该区域上的微结构特征的显现得到增强；然后例如通过网络从远程服务器的数据库中获取该区域的第一注册图像(亦即在注册过程中所采集的图像)，再将所采集的第一图像与第一注册图像中的纸纹特征进行比较(步骤402)，判断第一图像与第一注册图像中的纸纹特征是否一致(步骤403)；当第一图像与第一注册图像中的纸纹特征一致时，判断该纸质品为真品(步骤404)；当第一图像与第一注册图像中的纸纹特征不一致时，确定该纸质品为伪品(步骤405)。可以设置在特征比较过程中判断一致性的容错度，即，当特征比较的相似度高于某一预先设置的阈值时，判定两个图像中的微结构特征是一致的。
正如可以利用肖像照片来欺骗简单的人脸识别系统，伪造者也可能通过在灯光照射条件下拍摄真品上的纸纹特征图像来欺骗简单的防伪验证系统。如果按上述实施例仅依赖于第一图像与第一注册图像的比较来判断真伪，则可能被伪造者欺骗，导致防伪功能失效。考虑到这种情况，本发明提供了一种增强的防伪技术的实施例，也称为“类活体检测”。以下结合图3、图5和图6来说明。
图3示出防伪纸质品的制作方法的第二实施例的流程图。与图2相比，步骤301-303与步骤201-203相同，图3中的注册过程还包括：在未以光照射纸纹特征区域时，采集纸质品上的该区域的图像(步骤304)；以及保存该图像，作为用于验证的第二注册图像(步骤305)。第二注册图像在保存之前也可以进行图像处理，但通常第二图像并不包含纸纹特征，而是包含例如图案或图像特征(如图6中的图像61 所示)等。第二注册图像可以与第一注册图像一起保存在生产商的数据库中。
图5示出防伪纸质品的鉴别方法的第二实施例的流程图，该防伪纸质品可以是根据图3的实施例所制作的。与图4的流程图相比，步骤501-503及505与步骤401-403及405相同，图5的实施例还包括了对纸纹特征区域的第二图像(即在未以光照射该区域时采集的图像)的验证，即，在判断第一图像与第一注册图像一致后，再在未以光照射该区域时采集纸质品上的该区域的第二图像(步骤504)；将第二图像与该区域的第二注册图像的图像特征进行比较(步骤506)，判断第二图像与第二注册图像中的图像特征是否一致(步骤507)；以及当判断第二图像与第二注册图像中的图像特征一致时，才确定纸质品为真品(步骤508)。否则，当判断第二图像与第二注册图像中的图像特征不一致时，确定纸质品不是真品(步骤509)，即使第一图像与第一注册图像中的纸纹特征是一致的。
也就是说，即使伪造者在灯光照射条件下拍摄真品上的纸纹特征图像并将其用在伪品上，从而使得在图4或图5的鉴别过程有可能通过第一图像与第一注册图像之间的比较验证。但是伪品在图5中随后进行的第二图像与第二注册图像的比较验证中将被识别出来。例如，图6示出根据本发明实施例的鉴别方法所采集的图像的示意图，这些图像与针对图1所示的二维码的局部区域21采集的图像类似。图6分别示出真品在没有光照射条件下、有光照射条件下采集的第二图像61和第一图像62，以及伪品在没有光照射条件下、有光照射条件下采集的第二图像63和第一图像64。第二图像61包含二维码的局部区域的图案特征，第一图像62包含快速响应码的局部区域的图案特征和该局部区域内的印制油墨覆盖区内的纸纹特征，图像61和62分别与第二注册图像、第一注册图像是一致的。在图5的实施例中，由于是在没有光照射条件下采集的第二图像和第二注册图像，伪品上采 集的第二图像(如图6中的63所示)仍然与其在有光照射条件下采集的第一图像(如图6中的64所示)基本一致，即仍然呈现出指纹特征。因此，伪品上采集的第二图像63必然与真品在无光照射条件下采集的第二图像61(其等同于第二注册图像)是不一致的，由此可以识别出伪品。因此，图3、图5和图6所示的上述实施例进一步改善了防伪性能。
以下描述两种用于针对在光照射条件下采集的图像进行微纹理特征检测的方法。
(1)光度立体视觉技术
根据本发明的实施例，表面覆盖有油墨或反射涂层的纸张在未以光照射的情况下，纸张表面的微纹理特征并未显现，如图7a所示；在强光源(如闪光灯)下不再发生漫反射，而是呈现高光镜面反射的特征，如图7b所示。图8示出在光度立体视觉技术中纸张表面的光线示意图，其中L为入射光线，由闪光灯发出，N为纸张表面反光点处的法线方向，S为反射光线。L、N、S共面，且入射光线L及反射光线S与法线的夹角相等。在这种高光镜面反射下，即可以使用光度立体视觉方法对表面形状的微结构进行估计。微纹理特征很细微，通常肉眼难以直接清楚地观察到；而印制油墨或反射涂层的覆盖将增强照射光强在纸张表面逐点地在法线方向的反射；通过重建所有法线方向的采集，可以获得用作防伪特征的微纹理特征。
在纸张平面上的一点的位置坐标用x表示，图像采集到的亮度值B是关于x的函数：
B(x)＝ρ(x)N(x)·S L
B(x)即为所采集的RGB图像中的亮度值，可以是RGB图像转换为HSV彩色空间中的V通道，也可以是Lab彩色空间中的L通道。N为单位表面法向量。S L为光源向量，由闪光灯发出，亦是已知的。ρ(x)为每一点的反射率，对于一致的油墨或反射涂层，这是一个常量。 因此上述公式中除了N(x)都是已知的，N(x)可以通过上式解出，得到每一点的法线方向，如图7c所示。每一点的法线方向已知之后，可以通过PDE(偏微分方程)求得连续的表面形状，该形状就是微纹理特征在光度立体视觉方法下重建得到的三维结构，如图7d所示。
在防伪验证过程中进行纸纹特征比较时，可以将从被验证的纸质品图像所提取的微纹理三维结构与注册的微纹理三维结构的蒙日表示(monge patch)进行对比，两者之间的相似度就是两个蒙日表示的差值，用以进行判定。例如当该相似度高于预定阈值时，判定被验证的纸质品为真品。
(2)自编码器技术
自编码器是深度学习中的一种无监督神经网络模型，用以学习输入数据的隐含特征，称之为编码，同时学习到的特征可以用以重构输入数据，称为解码。
在自编码器技术中，首先输入在闪光灯下采集的图像作为原始图像数据，然后经过第一深度神经网络的处理，得到数据量更少的中间层，这就是学习到的图像特征；然后，再经过第二深度神经网络的处理，得到还原图像，它与输入图像大致相同。
第一深度神经网络称之为编码器，第二深度神经网络称之为解码器，中间层得到的是一个高维向量，它的体积远小于输入的图像，但是包含了输入图像的特征表述。
自编码器的原理是通过一个尺寸逐渐减小的网络尝试缩减特征，然后通过一个逐渐增大的网络尝试还原图像，通过深度学习过程训练编解码网络的权重系数，得到一个能够几乎完整还原图像的编码器+解码器网络。这个网络的编码部分能够输入一幅图像，抽取其中的显著特征，在该示例中即为微纹理特征。解码部分能够输入一组特征，然后还原出特征表述的图像，但训练完成后并不使用该部分。
特征识别过程：将图像输入到编码器中，得到微纹理特征编码， 这是一个更小的特征表述，可能是仅为100～1000维的一个向量，然后储存该特征向量。在防伪验证过程的微纹理特征对比过程中，先取出两个特征向量，计算它们的欧氏距离或马氏距离等等向量距离，归一化后得到被验证的纸质品的微纹理特征与注册的微纹理特征之间的相似度，然后可以根据相似度判定被验证的纸质品的真伪。
本领域技术人员应当理解，以上所描述的各个实施例只是说明性的，而非限制性的，本领域技术人员可以在不偏离本发明实质的情况下做出各种变形和修改，这些变形和修改都将落入本发明的保护范围之内。

Claims (17)

  1. 一种防伪纸质品，其中，在所述纸质品的表面的至少一个区域上设置有覆盖层，所述覆盖层在被光照射时使所述区域上的微结构特征的显现得到增强。
  2. 根据权利要求1所述的纸质品，其中，所述覆盖层是印制油墨和反射涂层中的至少一种。
  3. 根据权利要求1所述的纸质品，其中，所述微结构特征是所述纸质品的表面上的纸纹特征。
  4. 一种制作防伪纸质品的方法，包括：
    在所述纸质品的表面的至少一个区域上设置覆盖层；所述覆盖层在被光照射时使所述区域上的微结构特征的显现得到增强。
  5. 根据权利要求4所述的方法，还包括：
    在以光照射所述区域时，采集所述纸质品上的所述区域的图像作为第一注册图像；以及
    保存所述第一注册图像。
  6. 根据权利要求5所述的方法，其中，所述覆盖层是印制油墨和反射涂层中的至少一种。
  7. 根据权利要求5所述的方法，其中，所述微结构特征是所述纸质品的表面上的纸纹特征。
  8. 根据权利要求5所述的方法，还包括：
    在未以光照射所述区域时，采集所述纸质品上的所述区域的图像作为第二注册图像；以及
    保存所述第二注册图像。
  9. 一种用于注册防伪纸质品的方法，其中，在所述纸质品的表面的至少一个区域上设置覆盖层，所述覆盖层在被光照射时使所述区域上的微结构特征的显现得到增强；所述方法包括：
    在以光照射所述区域时，采集所述纸质品上的所述区域的图像作为第一注册图像；以及
    保存所述第一注册图像。
  10. 根据权利要求9所述的方法，还包括：
    在未以光照射所述区域时，采集所述纸质品上的所述区域的图像作为第二注册图像；以及
    保存所述第二注册图像。
  11. 一种鉴别防伪纸质品的方法，包括：
    在以光照射所述纸质品的表面的至少一个区域时，采集所述纸质品上的所述区域的第一图像；其中，所述区域上设置有覆盖层，所述覆盖层在被光照射时使所述区域上的微结构特征的显现得到增强；
    将所述第一图像与所述区域的第一注册图像进行比较，其中，所述第一注册图像是在以光照射所述区域时采集的并且被预先存储；以及
    当判断所述第一图像与所述第一注册图像中的微结构特征一致时，确定所述纸质品为真品。
  12. 根据权利要求11所述的方法，其中，所述覆盖层是印制油墨和反射涂层中的至少一种。
  13. 根据权利要求11所述的方法，还包括：
    在未以光照射所述区域时，采集所述纸质品上的所述区域的第二图像；
    将所述第二图像与所述区域的第二注册图像进行比较；其中，所述第二注册图像是在未以光照射所述区域时采集的并且被预先存储；以及
    当判断所述第二图像与所述第二注册图像中的图像特征一致、且所述第一图像与所述第一注册图像中的微结构特征一致时，确定所述纸质品为真品。
  14. 根据权利要求11所述的方法，其中，所述光是由闪光灯发出的。
  15. 根据权利要求11所述的方法，其中，所述第一图像和/或所述第二图像是由包含相机的便携式电子设备或物联网设备拍摄的。
  16. 根据权利要求11所述的方法，还包括：
    利用光度立体视觉方法或自编码器方法，对采集的所述第一图像进行处理以提取所述纸质品上的所述微结构特征，以用于所述比较步骤；
    其中，所述第一注册图像包含利用光度立体视觉方法或自编码器方法处理后提取的微结构特征；所述比较步骤包括比较从所述第一图像中提取的微结构特征与所述第一注册图像包含的微结构特征。
  17. 一种纸质防伪标签，其中，在所述纸质防伪标签的表面的至少一个区域上覆盖有印制油墨，所述印制油墨在被光照射时使所述区域上的微结构特征的显现得到增强；其中，所述印制油墨被印制成条形码和二维码中的至少一种。
PCT/CN2019/079225 2019-03-22 2019-03-22 基于微结构检测的防伪纸质品及其制作方法和鉴别方法 WO2020191520A1 (zh)

Priority Applications (3)

Application Number Priority Date Filing Date Title
DE112019007066.5T DE112019007066T5 (de) 2019-03-22 2019-03-22 Fälschungssicheres Papierprodukt basierend auf Mikrostrukturerkennung, Herstellungsverfahren sowie Authentifizierungsverfahren dafür
PCT/CN2019/079225 WO2020191520A1 (zh) 2019-03-22 2019-03-22 基于微结构检测的防伪纸质品及其制作方法和鉴别方法
CN201980093183.7A CN113518997A (zh) 2019-03-22 2019-03-22 基于微结构检测的防伪纸质品及其制作方法和鉴别方法

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2019/079225 WO2020191520A1 (zh) 2019-03-22 2019-03-22 基于微结构检测的防伪纸质品及其制作方法和鉴别方法

Publications (1)

Publication Number Publication Date
WO2020191520A1 true WO2020191520A1 (zh) 2020-10-01

Family

ID=72610355

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2019/079225 WO2020191520A1 (zh) 2019-03-22 2019-03-22 基于微结构检测的防伪纸质品及其制作方法和鉴别方法

Country Status (3)

Country Link
CN (1) CN113518997A (zh)
DE (1) DE112019007066T5 (zh)
WO (1) WO2020191520A1 (zh)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112163534A (zh) * 2020-10-08 2021-01-01 东南数字经济发展研究院 一种基于微观表面法向量场的纸张防伪鉴识方法
CN112465092A (zh) * 2020-10-29 2021-03-09 深圳大学 一种二维码样本的生成方法、装置、服务器和存储介质
CN113870479A (zh) * 2021-08-31 2021-12-31 中钞印制技术研究院有限公司 防伪纸张鉴别方法和装置、电子设备和可读存储介质

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102063758A (zh) * 2009-11-16 2011-05-18 中科院成都信息技术有限公司 一种钞票纸纹理的检测方法和装置
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
JP2013061201A (ja) * 2011-09-13 2013-04-04 Osaka Univ 物体表面の質感計測装置およびそれを用いた紙葉類識別装置
CN103761799A (zh) * 2014-01-13 2014-04-30 王波 一种基于纹理图像特征的票据防伪方法和装置
WO2014124829A1 (de) * 2013-02-14 2014-08-21 Progenio Ag Gegenstand mit grafischen elementen, gesamtheit von gegenständen, verfahren zum herstellen und verfahren zum authentifizieren

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CH653161A5 (de) * 1981-10-27 1985-12-13 Landis & Gyr Ag Dokument mit einem sicherheitsmerkmal und verfahren zur echtheitspruefung des dokumentes.
CN1094435C (zh) * 1999-05-21 2002-11-20 南开大学戈德防伪技术公司 防伪用荧光压敏复写纸
US7535641B2 (en) * 2002-05-14 2009-05-19 Leonhard Kurz Gmbh & Co., Kg Optically variable element comprising a partial transparent element
CN1785688B (zh) * 2005-06-13 2010-06-30 张重光 可机读的防伪铁路车票
WO2016125488A1 (ja) * 2015-02-03 2016-08-11 凸版印刷株式会社 光学情報媒体

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102063758A (zh) * 2009-11-16 2011-05-18 中科院成都信息技术有限公司 一种钞票纸纹理的检测方法和装置
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
JP2013061201A (ja) * 2011-09-13 2013-04-04 Osaka Univ 物体表面の質感計測装置およびそれを用いた紙葉類識別装置
WO2014124829A1 (de) * 2013-02-14 2014-08-21 Progenio Ag Gegenstand mit grafischen elementen, gesamtheit von gegenständen, verfahren zum herstellen und verfahren zum authentifizieren
CN103761799A (zh) * 2014-01-13 2014-04-30 王波 一种基于纹理图像特征的票据防伪方法和装置

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112163534A (zh) * 2020-10-08 2021-01-01 东南数字经济发展研究院 一种基于微观表面法向量场的纸张防伪鉴识方法
CN112465092A (zh) * 2020-10-29 2021-03-09 深圳大学 一种二维码样本的生成方法、装置、服务器和存储介质
CN112465092B (zh) * 2020-10-29 2023-03-03 深圳大学 一种二维码样本的生成方法、装置、服务器和存储介质
CN113870479A (zh) * 2021-08-31 2021-12-31 中钞印制技术研究院有限公司 防伪纸张鉴别方法和装置、电子设备和可读存储介质

Also Published As

Publication number Publication date
CN113518997A (zh) 2021-10-19
DE112019007066T5 (de) 2021-12-23

Similar Documents

Publication Publication Date Title
US9153005B2 (en) Method and system for authenticating a secure document
TWI646470B (zh) 一種用以鑑別光學可變之防僞元件的方法及一種光學可變之防僞元件
EP3465637B1 (en) A method for authenticating a document
CN106682912B (zh) 3d结构的认证方法
EP3385924B1 (en) Identification method
WO2020191520A1 (zh) 基于微结构检测的防伪纸质品及其制作方法和鉴别方法
WO2016049979A1 (zh) 纸币识别方法及装置
CN102955930B (zh) 一种利用物质自身物理特征识别的防伪方法和系统
Murthy et al. Design and implementation of paper currency recognition with counterfeit detection
US20200394399A1 (en) System and method for the identification of objects
CN107437293A (zh) 一种基于票据全局特征的票据防伪鉴别方法
JP2012124957A (ja) 微小セキュリティマークを利用した偽造防止装置及び方法
Uddin et al. Image-based approach for the detection of counterfeit banknotes of Bangladesh
Wang et al. Anti-counterfeiting for polymer banknotes based on polymer substrate fingerprinting
WO2017024779A1 (zh) 一种物质防伪方法和物质防伪系统
Centeno et al. Identity Document and banknote security forensics: a survey
CN110544424A (zh) 具有检测标识的随机纹理防伪标识结构
US11823003B2 (en) Method for authenticating a magnetically induced mark with a portable device
WO2019170090A1 (zh) 防伪标签及防伪标签验证方法
WO2020251380A1 (pt) Método para a validação da autenticidade de uma imagem presente em um objeto, objeto com nível de segurança intensificado e o seu método de preparo, aparelho computacional, programas de computador e meio de leitura adaptados
CA3193165A1 (en) Security marking, method and device for reading the security marking, security document marked with the security marking, and method and system for verifying said security documen t
CN216133400U (zh) 一种放大镜、一种防伪标识系统及一种防伪结构系统
Berenguel Centeno Analysis of background textures in banknotes and identity documents for counterfeit detection
CN117935669A (zh) 防伪标签及其制作、验证方法和装置
JP2023511569A (ja) セキュリティ文書を認証するための方法

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 19921849

Country of ref document: EP

Kind code of ref document: A1

122 Ep: pct application non-entry in european phase

Ref document number: 19921849

Country of ref document: EP

Kind code of ref document: A1