WO2015062424A1 - 利用特征图像来实现承印物防伪的方法和系统 - Google Patents

利用特征图像来实现承印物防伪的方法和系统 Download PDF

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WO2015062424A1
WO2015062424A1 PCT/CN2014/089046 CN2014089046W WO2015062424A1 WO 2015062424 A1 WO2015062424 A1 WO 2015062424A1 CN 2014089046 W CN2014089046 W CN 2014089046W WO 2015062424 A1 WO2015062424 A1 WO 2015062424A1
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Prior art keywords
feature
substrate
counterfeiting
feature image
ink
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PCT/CN2014/089046
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English (en)
French (fr)
Inventor
赵立新
陈红洲
陈自明
郭伟
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汝思信息技术(上海)有限公司
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Priority to US15/032,445 priority Critical patent/US9881438B2/en
Publication of WO2015062424A1 publication Critical patent/WO2015062424A1/zh

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    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07DHANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
    • G07D7/00Testing 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
    • G07D7/004Testing 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 digital security elements, e.g. information coded on a magnetic thread or strip
    • G07D7/0047Testing 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 digital security elements, e.g. information coded on a magnetic thread or strip using checkcodes, e.g. coded numbers derived from serial number and denomination
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/80Recognising image objects characterised by unique random patterns

Definitions

  • the present invention relates to anti-counterfeiting technology, and in particular to a method and system for realizing anti-counterfeiting of a substrate using a feature image.
  • QR code with anti-counterfeiting function is not common, and its anti-counterfeiting effect is not ideal.
  • the mobile phone In daily life, the mobile phone has a macro camera module, which can detect the anti-counterfeiting information of the video and send it to the detecting party through the communication network of the mobile phone; in this case, a carrier with identification information that is difficult to copy and an easy-to-implement test are required. method.
  • an anti-counterfeit carrier that is easy to manufacture, it can be combined with the function of the macro mobile phone to realize zero cost for the consumer, non-reproducibility with printing, and special QR code. Combined with the back-end data platform, the unique feature of mobile phone anti-counterfeiting, it will be worth looking forward to.
  • the general analysis process includes the following aspects: anti-counterfeiting technology, printing technology and printing related knowledge.
  • anti-counterfeiting technologies There are many anti-counterfeiting technologies, watermark anti-counterfeiting, image feature anti-counterfeiting, specific invisible mark, two-dimensional code anti-counterfeiting and so on.
  • Anti-counterfeiting technology basically uses corresponding identification equipment to prevent Pseudo-identification, their more research on anti-counterfeiting algorithms is their ability to resist printing errors and to resist damage.
  • Image halftone A printed digital image must be converted to the same depth as the output device before being output. Image halftones are generally required to convert a higher depth image into a lower depth image and make the two visually as similar as possible.
  • Image Depth The number of bits of binary data used by a digital image to represent the color of an image. For example, an image with a depth of 8 can represent 256 different color values or gray values.
  • the minimum depth that the human eye can resolve is 1.73.
  • the halftone algorithm uses a binary pixel to represent a certain gray value or color value of a continuously modulated image, which can be understood as a signal modulation method. . Can be divided into amplitude modulation, frequency modulation and hybrid modulation.
  • the halftone of the image using the point process algorithm also becomes a screening.
  • Amplitude and Halftone The halftone image is divided into square cells of equal size, ie, dot cells.
  • the set of pixel points with a value of 1 in the dot unit is called a halftone dot.
  • the ratio of the dot area to the area of the dot cell indicates the average gray value of the pixel of the corresponding dot unit. When the value is expressed as a percentage, it is called the dot percentage. , referred to as the dot value.
  • the arrangement direction of the dot unit is called a mesh angle. In the direction of the dot arrangement, the number of dot units in the unit length range is called the screening frequency (unit: lpi, lines per inch).
  • Modulation method of amplitude modulation Under the condition that the screen frequency is kept unchanged, the size of the dot unit is also unchanged, and the color or gray value of the image is expressed by changing the area of the dot. The area of the dot is the amplitude of the amplitude modulation.
  • Frequency Modulation The color or gray value of an image is expressed by the frequency at which a pixel having a value of 1 appears in a unit area area. The combination of amplitude modulation and frequency modulation is mixed halftone.
  • the amplitude-added screening frequency can only be 175lpi, and it can achieve 300lpi after mixing, while maintaining basically the same gray level performance.
  • the printing of the image has the minimum precision of the pixel, and the gray value or the color value cannot be accurately completed, and the specific expression of the final resolution and the color reproduction degree of the printing can be reflected by the specific screening modulation.
  • the colors displayed on the computer are red, green, and blue RGB modes, and only CMYK mode that converts RGB mode to cyan, magenta, yellow, and black can be printed.
  • the three colors C, M and Y are made up of a combination of RGB three primary colors that are unrecognizable to the naked eye, and then black is the dark part of the image for better performance.
  • For the software first collect all the RGB data and convert it. The RGB data is converted into the corresponding three-dimensional quick calculation table. Each RGB data channel has a corresponding grid corresponding to the CMYK data. Collecting CMYK data, the machine uses advanced technology to determine the storage position of four ink droplets of cyan, magenta, yellow and black under the control of fine image halftone adjustment technology.
  • CMYK data is stored in a single pixel of information. Only color information that exceeds a predetermined value is included in the ink droplet information. To achieve perfect print quality, it is also necessary for those that cannot be converted into ink droplet information. Data is reprocessed, ie with the rest The image information is combined and repositioned by error diffusion mode.
  • the color printing can be achieved by the fine technique such as error diffusion method, which can achieve good human eye adaptability, but it is only microscopic. At the pixel level, its color cannot be accurately restored, and it can be printed by specific screening. The combined performance of the final resolution and color reproduction.
  • Epson prints the highest resolution of 5760*1440dpi (5um), which corresponds to the smallest and finest ink droplets.
  • Epson's minimum ink droplet can be 1.5 picoliters, and in order to increase the printing speed, the ink droplets can There are three sizes, in addition to the finest small ink droplets, but also medium and large ink droplets, which are 3 times and 5 times smaller.
  • a complex color requires different ratios of CMYK, and its size is much larger than the space corresponding to the printing precision. Therefore, the complex color of the space of 10 to 20 um does not have the reproducibility of printing.
  • the inventors of the present invention provide a method for realizing anti-counterfeiting of a substrate by using a feature image, which comprises the following steps:
  • the similarity between the second anti-counterfeiting information and the first anti-counterfeiting information reaches a matching first threshold value by a manual comparison method or a smart device comparison method; if the first threshold value is higher than the matching, the substrate True; if the first threshold is lower than the match, the substrate is false;
  • the first anti-counterfeiting information is embodied by: an identifiable material feature of the substrate in the feature image area, or a color, shape, and position feature of the image printed in the feature image area.
  • the signature is a unique identification that corresponds to each of the substrates.
  • the second feature is a distinguishable material feature of the substrate in the feature image area, or a feature of the color, shape, or position of the image printed in the feature image area.
  • the color, shape, and position of the feature image are characterized by: a position, a shape, and a color feature of a single print dot or a plurality of print dots in all or part of the feature image. .
  • the color characteristics of the single print dot or print dots are caused by random mixing of different colors of electronic ink, ink or toner by the printing device, A random change in the ratio of ink or toner occurs.
  • the color features of the plurality of printed dots are adjusted by further adding at least one color of electronic ink, ink or toner in the process of forming the feature image, so that the composition is
  • the proportions of different colors of electronic ink, ink or toner in each of the print dots are randomly changed with time, resulting in a difference in color characteristics of each of the plurality of print dots.
  • the positional feature of the single printed dot is that the single printed dot is located at a particular location in the feature image.
  • the positional features of the plurality of printed dots are: arrangement, arrangement, and correlation of the plurality of printed dots with each other.
  • the single print dot or the plurality of print dots are printed according to the performance of the printing device, and the print dots formed by the print dots have irregular random geometric figures or a plurality of geometric shapes formed by the geometric patterns. Shape features for a single print dot or multiple print dots.
  • the first feature is acquired by acquiring the feature map
  • the low frequency component in the image is obtained; the first feature is captured by the optical device using a normal focal length. It will be understood by those skilled in the art that the low frequency component herein refers to the accuracy of printing specifically within 300 dpi.
  • the second feature is obtained by acquiring high frequency components in the feature image; the second feature is captured by the optical device using a macro or normal focal length plus magnification aid.
  • the high frequency component herein refers to the specific description of the printing accuracy of more than 300 dpi.
  • the identifiable material feature comprises a random region of the feature region having a randomly shaped metal line.
  • the identifiable material features include spraying onto the substrate with a non-monochromatic hybrid electronic ink, ink or toner such that different regions of the feature image have different random colors.
  • the color, shape, and position of the image are characterized by random mixing of electronic ink, ink, or toner of different colors of the printing device to cause the non-monochromatic mixed electronic ink, ink, or The color of the toner changes randomly.
  • the color, shape, and position of the image are characterized by further adding at least one color of electronic ink, ink, or toner during the forming of the feature image, so that the image is The ratio of the different colors of the electronic ink, ink or toner in the non-monochromatic mixed electronic ink, ink or toner varies randomly over time.
  • the first anti-counterfeiting information pre-recorded by the feature image is: pre-configuring the initial anti-counterfeiting information of the feature image by using an optical device, and correspondingly entering the database to form the first anti-counterfeiting information.
  • the second anti-counterfeiting information is a subset of the first anti-counterfeiting information.
  • the second aspect of the present invention also provides a system for realizing anti-counterfeiting of a substrate by using a feature image, wherein the system comprises: a feature image processing module and a database;
  • a feature image processing module that processes and recognizes the first time a first feature of the feature image printed on the substrate, the feature code identifying the substrate is obtained, the feature image processing module processes and identifies the second feature of the feature image printed on the substrate, and pre-records the corresponding feature
  • An anti-counterfeiting information is stored in the database; the feature image processing module processes and recognizes the first feature of the feature image printed on the substrate for the second time, obtains a feature code for identifying the substrate, and searches the database through the feature code.
  • the first anti-counterfeiting information pre-recorded by the substrate identifies a second feature of the feature image printed on the substrate to obtain second anti-counterfeiting information of the substrate; the second anti-counterfeiting information is a subset of the first anti-counterfeiting information ;
  • a database whether the similarity between the second anti-counterfeiting information and the first anti-counterfeiting information reaches a matching first threshold by a manual comparison method or a smart device comparison method; if the first threshold is higher than the matching, the database The substrate is true; if it is lower than the matched first threshold, the substrate is false;
  • the first anti-counterfeiting information or the second anti-counterfeiting information is embodied as: an identifiable material feature of the substrate in the feature image area, or a feature of color, shape, and position of the image printed in the feature image area.
  • the system further includes a feature image acquisition module adapted to acquire the feature image by the optical device.
  • the system further includes a data communication module, through which the information containing the substrate is true or the substrate is false is transmitted and displayed on the client.
  • the signature has a unique identification corresponding to each of the substrates.
  • the second feature is an identifiable material feature in the feature image region and a position or shape of a single print dot or a plurality of print dots in all or a partial region of the feature image. , color characteristics.
  • the first feature is obtained by acquiring low frequency components in the feature image; the first feature is captured by the optical device using a normal focal length.
  • the low frequency component herein refers to the accuracy of printing specifically within 300 dpi.
  • the second feature is obtained by acquiring high frequency components in the feature image; the second feature is captured by the optical device using a macro or normal focal length plus magnification aid.
  • the high frequency component herein refers to the specific description of the printing accuracy of more than 300 dpi.
  • the identifiable material feature comprises a metal line having a random shape in a random region of the feature region.
  • the identifiable material features include spraying onto the substrate with a non-monochromatic hybrid electronic ink, ink or toner such that different regions of the feature image have different random colors.
  • the color, shape, and position of the image are characterized by random mixing of electronic ink, ink, or toner of different colors of the printing device to cause the non-monochromatic mixed electronic ink, ink, or The color of the toner changes randomly.
  • the color, shape, and position of the image are characterized by further adding at least one color of electronic ink, ink, or toner during the forming of the feature image, so that the image is The ratio of the different colors of the electronic ink, ink or toner in the non-monochromatic mixed electronic ink, ink or toner varies randomly over time.
  • the first anti-counterfeiting information pre-recorded by the feature image is: pre-configuring the initial anti-counterfeiting information of the feature image by using an optical device, and correspondingly entering the database to form the first anti-counterfeiting information.
  • FIG. 1 shows a flow chart 100 of a method for implementing substrate anti-counterfeiting using feature images in accordance with the present invention
  • Figure 2 shows a schematic view 200 of an embodiment of a substrate in accordance with the present invention
  • FIG. 3 shows a schematic diagram 300 of a system for implementing substrate anti-counterfeiting using feature images in accordance with the present invention.
  • the feature image in this case is a two-dimensional code, a one-dimensional code, and the two-dimensional code can be, but is not limited to, a two-dimensional bar code (2D bar code) and a high-density two-dimensional bar code (High density 2D symbol).
  • a density two-dimensional barcode is taken as an example. It is generally rectangular and consists of n*n symbol elements. There are direction distinguishing elements on the mutually perpendicular sides. It is a bit "1" in the corresponding pixel position of the matrix. The point where there is no dot indicates the binary "0", which is used to reflect the specific information.
  • the size is generally: 21*21 to 177*177, so that each cell is a dot matrix of 1*1, so the QR code Size is not completely limited;
  • the focus of the present case is that a feature anti-counterfeiting area (the anti-counterfeiting area may be 1 mm*1 mm) is provided in all areas or specific areas on the feature image (ie, the two-dimensional code), but the feature anti-counterfeiting area may not necessarily pass through the naked eye. It can be recognized that several points can be set in the feature anti-counterfeiting area, for example, one, 100, 1000, 10000 points, which are generally circular and elliptical, and these points have corresponding shapes, positions, colors and points.
  • Some feature value data related to the point in practice, because the printing accuracy is 5 microns, and now the resolution of the camera module resolution of the mobile phone is not so high now, the accuracy is less than 5 microns, so Use mixed color (mixed ink when dotting) or position as the feature value data; but we also see that with the advancement of technology, the resolution of the camera module will be higher than 5 microns in the future, so you can pass a single point. Or Multi-point shape, position, and color for anti-counterfeiting identification. Before the anti-counterfeiting identification, we will pre-configure the anti-forgery authentication data of all the points in the feature anti-counterfeiting area of each two-dimensional code in the database module of the server.
  • the feature value data is a subset of the anti-forgery authentication data. There are 10000 points in the anti-counterfeiting area of a two-dimensional code A feature, and the feature value data is actually 100 points, but the anti-counterfeiting authentication data in the database module corresponds to 10000 points, and the actual retrieval matches are at 100 points.
  • the middle subset is taken, this is the background algorithm mechanism, which can set a threshold corresponding to the success or failure of the match, such as 80%, 90%.
  • the invention provides a method 100 for realizing anti-counterfeiting of a substrate by using a feature image.
  • the method mainly comprises the following three steps, namely:
  • the first step 110 by identifying the first feature of the feature image printed on the substrate, a feature code for identifying the substrate is obtained; and the first code is pre-recorded in the database by the feature code corresponding to the search database. Anti-counterfeiting information;
  • the second anti-counterfeiting information of the substrate is obtained by identifying the second feature of the feature image printed on the substrate;
  • step 130 whether the similarity between the second anti-counterfeiting information and the first anti-counterfeiting information is compared by the manual comparison method or the smart device comparison method a matching first threshold; if the first threshold is higher than the matched first threshold, the substrate is true; if the first threshold is lower than the matched first threshold, the substrate is false, wherein the first anti-counterfeiting
  • the information is embodied as: the identifiable material characteristics of the substrate in the feature image area, or the color, shape, and position characteristics of the image printed in the feature image area.
  • the signature is a unique identification that corresponds to each sheet, i.e., one piece or one item. In this way, a unique corresponding first anti-counterfeiting information can be found in the corresponding database, thereby providing a strong data guarantee for subsequent comparisons.
  • the second feature is a distinguishable material feature of the substrate in the feature image area, or a feature of the color, shape, or position of the image printed in the feature image area. In this way, the feature image area can be marked. Recognize the desired information.
  • the color, shape, and position of the feature image are characterized by: a position, a shape, and a color feature of a single print dot or a plurality of print dots in all or part of the feature image.
  • the color characteristics of the single print dot or print dots are caused by random mixing of different colors of electronic ink, ink or toner by the printing device, A random change in the ratio of ink or toner occurs.
  • the color features of the plurality of printed dots are adjusted by further adding at least one color of electronic ink, ink or toner in the process of forming the feature image, so that the composition is
  • the proportions of different colors of electronic ink, ink or toner in each of the print dots are randomly changed with time, resulting in a difference in color characteristics of each of the plurality of print dots.
  • the positional feature of the single printed dot is that the single printed dot is located at a particular location in the feature image.
  • the positional features of the plurality of printed dots are: an arrangement of the plurality of printed dots relative to each other, an arrangement, and a correlation between each of the plurality of printed dots.
  • the single print dot or the plurality of print dots are printed according to the performance of the printing device, and the print dots formed by the print dots have irregular random geometric figures or a plurality of geometric shapes formed by the geometric patterns. Shape features for a single print dot or multiple print dots.
  • the first feature is obtained by acquiring low frequency components in the feature image; the first feature is captured by the optical device using a normal focal length.
  • the second feature is obtained by acquiring high frequency components in the feature image; the second feature is captured by the optical device using a macro or normal focal length plus magnification aid
  • the identifiable material feature comprises a random region of the feature region having a randomly shaped metal line.
  • the identifiable material features include spraying onto the substrate with a non-monochromatic hybrid electronic ink, ink or toner such that different regions of the feature image have different random colors.
  • the color, shape, and position of the image are characterized by the random mixing of the electronic ink, ink, or toner of the different colors of the printing device as a whole to cause the non-monochromatic mixed electrons.
  • the color of the ink, ink or toner changes randomly.
  • the color, the shape and the position of the image are characterized in that at least one color of electronic ink, ink or toner is further integrated for the image in the process of forming the feature image.
  • the ratio of the different color electronic inks, inks or toners in the non-monochromatic mixed electronic ink, ink or toner in the image is randomly varied over time.
  • the first anti-counterfeiting information pre-recorded by the feature image is: pre-configuring the initial anti-counterfeiting information of the feature image by using an optical device, and correspondingly entering the database to form the first anti-counterfeiting information.
  • the second anti-counterfeiting information is a subset of the first anti-counterfeiting information.
  • the substrate comprises a two-dimensional code and at least a portion of the area of the two-dimensional code contains a feature image, and in general, the feature region is present in the two-dimensional code.
  • the positional relationship between the feature area 310 and the two-dimensional code area 320 is merely illustrative in FIG. 2, and is not limiting, that is, the feature area 310 can be characterized. Any area outside the image recognition area 320, on or within its boundaries; and the substrate shown here is a two-dimensional code, which is merely exemplary and not limiting, enabling Substrate for the purpose of the present invention falls within the scope of the present invention.
  • the second aspect of the present invention also provides a system 300 for realizing anti-counterfeiting of a substrate by using a feature image, the system comprising a feature image processing module 310, a database 320;
  • the feature image processing module 310 processes and recognizes the first feature of the feature image printed on the substrate for the first time to obtain a feature code for identifying the substrate, and the feature image processing module 310 processes and recognizes a second feature of the feature image printed on the substrate, the corresponding first anti-counterfeiting information is pre-recorded in the database; the feature image processing module 310 processes and recognizes the first feature image printed on the substrate for the second time And obtaining a feature code for identifying the substrate, and identifying the second feature of the feature image printed on the substrate by using the first anti-counterfeiting information pre-recorded in the substrate in the search database, and obtaining the substrate Second anti-counterfeiting information; the second anti-counterfeiting information is a subset of the first anti-counterfeiting information;
  • the database 320 compares, by the manual comparison method or the smart device comparison method, whether the similarity between the second anti-counterfeiting information and the first anti-counterfeiting information reaches a matching first threshold; if the first threshold is higher than the matching, The substrate is true; if the first threshold is lower than the match, the substrate is false;
  • the first anti-counterfeiting information or the second anti-counterfeiting information is embodied as: an identifiable material feature of the substrate in the feature image area, or a feature of color, shape, and position of the image printed in the feature image area.
  • the system further includes a feature image acquisition module adapted to acquire the feature image by the optical device.
  • the system further includes a data communication module, through which the information containing the substrate is true or the substrate is false is transmitted and displayed on the client.
  • the signature has a unique identification corresponding to each of the substrates.
  • the second feature is an identifiable material feature in the feature image region and a position or shape of a single print dot or a plurality of print dots in all or a partial region of the feature image. , color characteristics.
  • the first feature is obtained by acquiring low frequency components in the feature image; the first feature is captured by the optical device using a normal focal length.
  • the second feature is obtained by acquiring high frequency components in the feature image; the second feature is captured by the optical device using a macro or normal focal length plus magnification aid.
  • the identifiable material feature comprises a metal line having a random shape in a random region of the feature region.
  • the identifiable material features include spraying onto the substrate with a non-monochromatic hybrid electronic ink, ink or toner such that different regions of the feature image have different random colors.
  • the color, shape, and position of the image are characterized by random mixing of electronic ink, ink, or toner of different colors of the printing device to cause the non-monochromatic mixed electronic ink, ink, or The color of the toner changes randomly.
  • the color, shape, and position of the image are characterized by further adding at least one color of electronic ink, ink, or toner during the forming of the feature image, so that the image is The ratio of the different colors of the electronic ink, ink or toner in the non-monochromatic mixed electronic ink, ink or toner varies randomly over time.
  • the first anti-counterfeiting information pre-recorded by the feature image is: pre-configuring the initial anti-counterfeiting information of the feature image by using an optical device, and correspondingly entering the database to form the first anti-counterfeiting information.

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Abstract

本发明涉及一种利用特征图像来实现承印物防伪的方法和相应的系统,其中,上述方法包括通过识别印刷在承印物上的特征图像的第一特征,得到标识该承印物的特征码;并通过该特征码对应查找数据库中该承印物预先录入的第一防伪信息;通过识别印刷在该承印物上的特征图像的第二特征,得到该承印物的第二防伪信息;通过人工比对方法或智能设备比对方法比对该第二防伪信息和该第一防伪信息相似度是否达到匹配的第一阀值;若高于该匹配的第一阀值,则该承印物为真;若低于该匹配的第一阀值,则该承印物为假;其中,所述第一防伪信息体现为:该承印物在特征图像区域的可辨识的材料特征,或在特征图像区域内打印出的图像的色彩、形状、位置的特征。

Description

利用特征图像来实现承印物防伪的方法和系统 技术领域
本发明涉及防伪技术,特别地,涉及一种利用特征图像来实现承印物防伪的方法和系统。
背景技术
如今,二维码等起到标识作用的特征信息已经在商品流通领域得到越来越多的应用。但是,带有防伪功能的二维码并不多见,况且,其防伪效果也并不理想。
对于进入流通领域的商品来说,找到一种物美价廉的防伪方式至关重要,一方面,需要起到该防伪功能的载体不能够简单地被复制,另一方面,检验该载体的方法以及制造该载体的方法需要是简单便利的,而且其制造和检验方法需要是低成本且易于实现的。
而在日常生活中,手机具有微距拍照模组,其能够检测视频的防伪信息并通过手机的通信网络发送至检测方;这时则需要不易复制的带有标识信息的载体和易于实施的检验方法。
发明内容
鉴于对背景技术以及其中所存在的问题的理解,如果能够提供一种易于制造的防伪载体,使得其与微距手机功能结合实现消费者零成本、具有打印的不可复制性且与特殊二维码与后端数据平台结合,实现手机防伪的唯一性功能,那将是值得期待的。
为了实现上述目的,本发明的发明人作了如下几方面的研究:
首先,发明人针对上面的3个特点,对防伪,印刷两个方面做了许多理论研究与实践,找出二者与微距手机相结合的点进行分析。大致的分析过程包括以下几个方面:防伪技术、印刷技术和印刷的相关知识。防伪技术非常多,水印防伪,图像特征防伪,特定隐形标记,二维码防伪等。防伪技术基本都采用对应的识别设备进行防 伪识别,他们更多研究的防伪算法是其具有抗打印误差的能力,抗损坏的能力。其识别设备的特殊性,都无法和微距手机功能相结合。一开始,我们的目标就瞄准打印的不可重复性。打印肯定会有误差,其可以是图像形状误差(这个和打印精度相关),也可以是颜色误差(这个和很多因素相关)。1)形状误差。分析微距模组设计精度,我们对物体的识别打印的最小点的直径理论值大约7um~10um。而现在Epson的打印的分辨率最高为5760*1440dpi,打印的最小点的直径可达到5um,看实际打印图像,其分辨率会超过微距模组2)颜色误差,通过到印刷厂咨询并分析各种印刷样品,可以明显看到不同批次的印刷品上,同样彩色图案的色彩有差别,同样的打印文档,不同的机台打印,不同的纸张打印,不同表面施胶剂的使用,都会造成色彩差异。因此,打印的色彩分析作为不可重复特性的分析方向。
图像半色调化:印刷的数字图像,在输出前必须转换为与输出设备深度相同的图像。一般需要用到图像半色调化,其作用是将一种深度较高的图像转换成深度较低的图像,并使二者在视觉上尽可能相似的技术。
图像深度:数字图像用来表示图像颜色的二进制数据位数。如深度为8的图像能表示256个不同的颜色值或灰度值。
人眼能分辨的最小深度是1.73。
通过图像半色调化技术,可以深度较低的输出设备(打印机)上输出更高深度的图像,获得更高质量的打印效果。而误差扩散半色调技术的发展,使喷墨打印获得照片级的色彩效果。
调制与加网:
将连续调图像作为输入信号,半色调化图像作为输出信号,则半色调化算法用二值像素点表示连续调图像的一定的灰度值或颜色值的方法就可以理解为一种信号调制方法。可以分为调幅,调频和混合调制三种。
用点过程算法对图像做半色调化也成为加网。
调幅半色调化:半色调化图像被分割成大小相等的正方形单元,即网点单元。网点单元中值为1的像素点的集合称为网点,网点面积占网点单元面积的比例值表示对应网点单元区域像素点的平均灰度值,用百分比表示这个值时,称为网点百分值,简称网点值。网点单元排列方向称为网角,在网点排列方向上,单位长度范围内网点单元的个数称为加网频率(单位lpi,lines per inch)。调幅的调制方法:在保持加网频率不变的条件下,网点单元的大小因此也不变,通过改变网点的面积来表达图像的颜色或灰度值。网点面积就是调幅的幅度。
在像素精度一定时,存在对图像细节解析度与最大灰度等级的折中问题。调频:用值为1的像素点在单位面积区域出现的频率表达图像的颜色或灰度值。而调幅和调频相结合就是混合半色调化。
调幅的加网频率只能做到175lpi,混合后能做到300lpi,而保持基本相同的灰度等级表现力。
由此可以看出,图像的打印,其像素点具有的最小精度,无法准确完成灰度值或颜色值,通过特定加网调制后才能体现打印最终的解析度与色彩还原度的综合表现力。
色彩打印过程:
电脑显示的颜色是红,绿,蓝的RGB模式,而只有将RGB模式转换成青,品红,黄和黑色的CMYK模式才可以打印。而C,M和Y三个颜色是由RGB三原色经过肉眼无法识别的组合而成,然后加入黑色是图像的深色部分能更好的表现。对于软件而言,首先要收集所有的RGB数据并进行转换,RGB数据转换为相应的三维速算表,每个RGB数据通道都有相应格子相对应,从而得到CMYK数据。收集CMYK数据,机器在精细图像半色调调整技术控制下,采用先进的技术确定青,品红,黄和黑色四种墨滴的存放位置。但请注意,不是所有的CMYK数据都存放在一个像素信息中,只有超过预定值的色彩信息才包含在墨滴信息中,要得到完美的打印质量,还要对于那些不能转换成墨滴信息的数据进行再处理,即与剩余的 相像信息相结合并通过误差扩散模式对其重新定位。
通过以上分析,本发明的发明人得出以下基本结论:
色彩的打印,通过采用误差扩散法等精细技术控制,能做到很好的人眼适应性,但是就微观而已,在像素点层面,其色彩无法准确还原,通过特定加网调制后才能体现打印最终的解析度与色彩还原度的综合表现力。
对此,如Epson打印的最高分辨率5760*1440dpi(做到5um),对应于最小最精细的墨滴,如Epson的最小墨滴可以是1.5微微升,而为了提高打印速度,其墨滴可以有3种大小,除了最精细的小墨滴,还要中等墨滴和大墨滴,其大小为3倍和5倍小墨滴。而一种复杂色,需要CMYK的不同比例配比,其大小远大于打印精度对应的空间大小,因此,10~20um大小空间的复杂色,不具备打印的可复制性。
总结下来,如果使用混合墨水,在单点形成复杂的颜色,而且其配比还在不停变换,就是墨水混合时,还不停添加某一种墨水而不断改变其颜色,可以做到打印的无法复制,然后结合某种二维码的序列特征,将形成唯一性。
本发明的发明人基于以上认识,经过分析,本发明的第一方面提供了一种利用特征图像来实现承印物防伪的方法,其特征在于,包含如下步骤:
通过识别印刷在承印物上的特征图像的第一特征,得到标识该承印物的特征码;并通过该特征码对应查找数据库中该承印物预先录入的第一防伪信息;
通过识别印刷在该承印物上的特征图像的第二特征,得到该承印物的第二防伪信息;
通过人工比对方法或智能设备比对方法比对该第二防伪信息和该第一防伪信息相似度是否达到匹配的第一阀值;若高于该匹配的第一阀值,则该承印物为真;若低于该匹配的第一阀值,则该承印物为假;
其中,所述第一防伪信息体现为:该承印物在特征图像区域的可辨识的材料特征,或在特征图像区域内打印出的图像的色彩、形状、位置的特征。
在依据本发明的一个实施例中,该特征码为对应于每件承印物具有的唯一的识别标识。
在依据本发明的一个实施例中,该第二特征为该承印物在特征图像区域的可辨识的材料特征,或在特征图像区域内打印出的图像的色彩、形状、位置的特征。
在依据本发明的一个实施例中,所述该特征图像的色彩、形状、位置的特征体现为:特征图像全部或局部区域中具有的单个打印点或多个打印点的位置、形状、色彩特征。
在依据本发明的一个实施例中,所述单个打印点或多个打印点的色彩特征是通过打印设备的不同种颜色电子油墨、墨水或碳粉的随机混合导致该非单色混合电子油墨、墨水或碳粉的比例发生随机变化产生。
在依据本发明的一个实施例中,所述多个打印点的色彩特征是通过在形成特征图像的过程中,进一步加入至少一种颜色的电子油墨、墨水或碳粉进行调配,使得组成该多个打印点中的每一打印点中不同种颜色电子油墨、墨水或碳粉的比例分别随着时间产生随机变化,致使该多个打印点中的每一打印点的颜色特征具有差异性。
在依据本发明的一个实施例中,所述单个打印点的位置特征为:该单个打印点位于该特征图像中的一特定位置。
在依据本发明的一个实施例中,所述多个打印点的位置特征为:所述多个打印点相互之间的排列、布置、相关性。
在依据本发明的一个实施例中,所述单个打印点或多个打印点由于打印设备的性能打印形成的打印点具有的不规则的随机几何图形或若干该几何图形形成的整体图形体现所述单个打印点或多个打印点的形状特征。
在依据本发明的一个实施例中,该第一特征通过采集该特征图 像中的低频分量获得;通过光学设备采用正常焦距的方式捕捉该第一特征。本领域的技术人员应当理解,此处的低频分量是指具体描述打印的精度300dpi以内。
在依据本发明的一个实施例中,该第二特征通过采集该特征图像中的高频分量获得;通过光学设备采用微距或正常焦距加放大辅助设备的方式捕捉该第二特征。本领域的技术人员应当理解,此处的高频分量是指具体描述打印的精度高于300dpi。
在依据本发明的一个实施例中,该可辨识的材料特征包括:特征区域中的随机区域具有随机形状的金属线。
在依据本发明的一个实施例中,该可辨识的材料特征包括:采用非单色的混合电子油墨、墨水或碳粉喷涂至该承印物上导致特征图像的不同区域具有不同的随机颜色。
在依据本发明的一个实施例中,该图像的色彩、形状、位置的特征为:通过打印设备的不同种颜色电子油墨、墨水或碳粉的随机混合导致该非单色混合电子油墨、墨水或碳粉的颜色发生随机变化。
在依据本发明的一个实施例中,该图像的色彩、形状、位置的特征为:在形成特征图像的过程中进一步加入至少一种颜色的电子油墨、墨水或碳粉进行调配,使得该图像中的非单色混合电子油墨、墨水或碳粉中的不同种颜色电子油墨、墨水或碳粉的比例随着时间产生随机变化。
在依据本发明的一个实施例中,该特征图像预先录入的第一防伪信息为:通过光学设备预先配置该特征图像的初期防伪信息,并对应录入至该数据库中形成该第一防伪信息。
在依据本发明的一个实施例中,该第二防伪信息为第一防伪信息的子集。
此外,本发明的第二方面还提出了一种利用特征图像来实现承印物防伪的系统,其特征在于,该系统包括:特征图像处理模块、数据库;
特征图像处理模块,该特征图像处理模块第一次时处理并识别 印刷在承印物上的特征图像的第一特征,得到标识该承印物的特征码,该特征图像处理模块处理处理并识别印刷在该承印物上的特征图像的第二特征,预先录入对应的第一防伪信息于数据库中;该特征图像处理模块第二次时处理并识别印刷在承印物上的特征图像的第一特征,得到标识该承印物的特征码,并通过该特征码对应查找数据库中该承印物预先录入的第一防伪信息,识别印刷在该承印物上的特征图像的第二特征,得到该承印物的第二防伪信息;所述第二防伪信息为第一防伪信息的子集;
数据库,通过人工比对方法或智能设备比对方法比对该第二防伪信息和该第一防伪信息相似度是否达到匹配的第一阀值;若高于该匹配的第一阀值,则该承印物为真;若低于该匹配的第一阀值,则该承印物为假;
其中,所述第一防伪信息或第二防伪信息体现为:该承印物在特征图像区域的可辨识的材料特征,或在特征图像区域内打印出的图像的色彩、形状、位置的特征。
在依据本发明的一个实施例中,该系统还包括特征图像采集模块,该特征图像采集模块适于通过光学设备采集该特征图像。
在依据本发明的一个实施例中,该系统还包括数据通讯模块,通过该数据通讯模块将包含有承印物为真或承印物为假的信息传输并显示于客户端。
在依据本发明的一个实施例中,该特征码为对应于每件承印物具有唯一的识别标识。
在依据本发明的一个实施例中,该第二特征为在该特征图像区域的可辨识的材料特征及,该特征图像全部或局部区域中具有的单个打印点或多个打印点的位置、形状、色彩特征。
在依据本发明的一个实施例中,该第一特征通过采集该特征图像中的低频分量获得;通过光学设备采用正常焦距的方式捕捉该第一特征。本领域的技术人员应当理解,此处的低频分量是指具体描述打印的精度300dpi以内。
在依据本发明的一个实施例中,该第二特征通过采集该特征图像中的高频分量获得;通过光学设备采用微距或正常焦距加放大辅助设备的方式捕捉该第二特征。本领域的技术人员应当理解,此处的高频分量是指具体描述打印的精度高于300dpi。
在依据本发明的一个实施例中,该可辨识的材料特征包括:特征区域中随机区域具有随机形状的金属线。
在依据本发明的一个实施例中,该可辨识的材料特征包括:采用非单色的混合电子油墨、墨水或碳粉喷涂至该承印物上导致特征图像的不同区域具有不同的随机颜色。
在依据本发明的一个实施例中,该图像的色彩、形状、位置的特征为:通过打印设备的不同种颜色电子油墨、墨水或碳粉的随机混合导致该非单色混合电子油墨、墨水或碳粉的颜色发生随机变化。
在依据本发明的一个实施例中,该图像的色彩、形状、位置的特征为:在形成特征图像的过程中进一步加入至少一种颜色的电子油墨、墨水或碳粉进行调配,使得该图像中的非单色混合电子油墨、墨水或碳粉中的不同种颜色电子油墨、墨水或碳粉的比例随着时间产生随机变化。
在依据本发明的一个实施例中,该特征图像预先录入的第一防伪信息为:通过光学设备预先配置该特征图像的初期防伪信息,并对应录入至该数据库中形成该第一防伪信息。
本发明的以上特性及其他特性将在下文中的具体实施例部分进行明确地阐述。
附图说明
通过参照附图阅读以下所作的对非限制性实施例的详细描述,能够更容易地理解本发明的特征、目的和优点。其中,相同或相似的附图标记代表相同或相似的装置。
图1示出了依据本发明所述的利用特征图像来实现承印物防伪的方法的流程图100;
图2示出了依据本发明所述的承印物的一种实施例的示意图200;以及
图3示出了依据本发明所述的利用特征图像来实现承印物防伪的系统的示意图300。
在附图中,相同或对应的标号表示相同或对应的部分。
具体实施方式
下面详细讨论实施例的实施和使用。然而,应当理解,所讨论的具体实施例仅仅示范性地说明实施和使用本发明的特定方式,而非限制本发明的范围。
为了清楚地描述本发明,在此作出如下三点限定:
首先,本案中的特征图像为二维码、一维码,二维码可以但不仅限于:二维条形码(2D bar code)、高密度二维条形码(High density 2D symbol),在此我们以高密度二维条形码为例,其一般为矩形,由n*n符号元素排列组成,在相互垂直的两边边界上有方向辨别元素,它是在矩阵相应像素位置上有点的地方表示二进制的“1”,无点的地方表示二进制的“0”,用来反映特定信息,其大小一般为:21*21至177*177的格,所谓每一格为1*1的点阵,所以二维码的大小并不是完全限定的;
其次,本案的重点在于在特征图像(即二维码)上的所有区域或特定区域中设置有特征防伪区域(防伪区域可以为1mm*1mm),但该特征防伪区域也可并不一定通过肉眼能够识别,该特征防伪区域中可以设置若干点,比如设置1个、100个、1000个、10000个点,这些点一般为圆形、椭圆形,这些点具有相应的形状、位置、颜色及点与点之间相关性的一些特征值数据,在实际中,由于打印精度为5微米,而现在手机的摄像模组分辨率的精度现在做不到这么高,精度是低于5微米的,所以采用混合颜色(打点时的混合墨水)或者位置来作为特征值数据;但是我们同样看到,随着科技的进步摄像模组的分辨率的精度在未来会高于5微米,于是可以通过单点或 者多点形状、位置、颜色来进行防伪识别。在防伪识别之前,我们会在服务器端的数据库模块中预先对应配置有每一二维码的特征防伪区域中所有的点的防伪认证数据,特征值数据为防伪认证数据的子集,现举例说明:一个二维码A特征防伪区域中有10000个点,特征值数据其实为100个点的,但是数据库模块中的防伪认证数据对应的为10000个点,而实际检索匹配时又是在100个点中再子集采取,这个为后台的算法机制,对应于匹配成功或失败可设定一阀值,比如80%、90%。
本发明提供了一种利用特征图像来实现承印物防伪的方法100,由图1可以看出,该方法主要包含以下三个步骤,即:
首先,在第一步骤110中,通过识别印刷在承印物上的特征图像的第一特征,得到标识该承印物的特征码;并通过该特征码对应查找数据库中该承印物预先录入的第一防伪信息;
然后,在接下来的第二步骤120中,通过识别印刷在该承印物上的特征图像的第二特征,得到该承印物的第二防伪信息;
最后,在得到上述的第一防伪信息和第二防伪信息之后,在步骤130中,通过人工比对方法或智能设备比对方法比对该第二防伪信息和该第一防伪信息相似度是否达到匹配的第一阀值;若高于该匹配的第一阀值,则该承印物为真;若低于该匹配的第一阀值,则该承印物为假,其中,所述第一防伪信息体现为:该承印物在特征图像区域的可辨识的材料特征,或在特征图像区域内打印出的图像的色彩、形状、位置的特征。
在依据本发明的一个实施例中,该特征码为对应于每件承印物具有的唯一的识别标识,即一件一码或一物一码。以这样的方式便能在相应的数据库中找到唯一对应的第一防伪信息,从而为后续的比对提供有力的数据保证。
在依据本发明的一个实施例中,该第二特征为该承印物在特征图像区域的可辨识的材料特征,或在特征图像区域内打印出的图像的色彩、形状、位置的特征。以这样的方式便能在特征图像区域标 识上期望的信息。
在依据本发明的一个实施例中,所述该特征图像的色彩、形状、位置的特征体现为:特征图像全部或局部区域中具有的单个打印点或多个打印点的位置、形状、色彩特征,在此我们首先关注特定图像全部或局部区域中的点的位置、形状、色彩特征。
在依据本发明的一个实施例中,所述单个打印点或多个打印点的色彩特征是通过打印设备的不同种颜色电子油墨、墨水或碳粉的随机混合导致该非单色混合电子油墨、墨水或碳粉的比例发生随机变化产生。
在依据本发明的一个实施例中,所述多个打印点的色彩特征是通过在形成特征图像的过程中,进一步加入至少一种颜色的电子油墨、墨水或碳粉进行调配,使得组成该多个打印点中的每一打印点中不同种颜色电子油墨、墨水或碳粉的比例分别随着时间产生随机变化,致使该多个打印点中的每一打印点的颜色特征具有差异性。
在依据本发明的一个实施例中,所述单个打印点的位置特征为:该单个打印点位于该特征图像中的一特定位置。
在依据本发明的一个实施例中,所述多个打印点的位置特征为:所述多个打印点相互之间的排列、布置、多个打印点中每一个点之间的相关性。
在依据本发明的一个实施例中,所述单个打印点或多个打印点由于打印设备的性能打印形成的打印点具有的不规则的随机几何图形或若干该几何图形形成的整体图形体现所述单个打印点或多个打印点的形状特征。
在依据本发明的一个实施例中,该第一特征通过采集该特征图像中的低频分量获得;通过光学设备采用正常焦距的方式捕捉该第一特征。
在依据本发明的一个实施例中,该第二特征通过采集该特征图像中的高频分量获得;通过光学设备采用微距或正常焦距加放大辅助设备的方式捕捉该第二特征
在依据本发明的一个实施例中,该可辨识的材料特征包括:特征区域中的随机区域具有随机形状的金属线。
在依据本发明的一个实施例中,该可辨识的材料特征包括:采用非单色的混合电子油墨、墨水或碳粉喷涂至该承印物上导致特征图像的不同区域具有不同的随机颜色。
在依据本发明的一个实施例中,该图像的色彩、形状、位置的特征为:该图像整体上通过打印设备的不同种颜色电子油墨、墨水或碳粉的随机混合导致该非单色混合电子油墨、墨水或碳粉的颜色发生随机变化。
在依据本发明的一个实施例中,该图像的色彩、形状、位置的特征为:在形成特征图像的过程中针对该图像整体上进一步加入至少一种颜色的电子油墨、墨水或碳粉进行调配,使得该图像中的非单色混合电子油墨、墨水或碳粉中的不同种颜色电子油墨、墨水或碳粉的比例随着时间产生随机变化。
在依据本发明的一个实施例中,该特征图像预先录入的第一防伪信息为:通过光学设备预先配置该特征图像的初期防伪信息,并对应录入至该数据库中形成该第一防伪信息。
在依据本发明的一个实施例中,该第二防伪信息为第一防伪信息的子集。
以上介绍了如何借助于特征图像来实现承印物防伪,接下来,将借助于图2描述带有特征图像的承印物的示意图。从图2中可以看出,该承印物包括二维码并且在该二维码中的至少部分的区域包含有特征图像,一般来说,该特征区域存在于该二维码之中。但是,本领域的技术人员应当理解,其中的特征区域310和二维码区域320的位置关系在图2中仅仅为示意性的,而非限制性的,也就是说,特征区域310能够在特征图像识别区域320之外、在其边界上或者在其之内的任意区域;并且,在此所示出的承印物为二维码,这也仅仅是示例性的而非限制性的,能够实现本发明之目的的承印物均落入本发明的保护范围之内。
与上述的防伪识别系统相对应地,本发明的第二方面还提出了一种利用特征图像来实现承印物防伪的系统300,该系统包括特征图像处理模块310、数据库320;
特征图像处理模块310,该特征图像处理模块310第一次时处理并识别印刷在承印物上的特征图像的第一特征,得到标识该承印物的特征码,该特征图像处理模块310处理并识别印刷在该承印物上的特征图像的第二特征,预先录入对应的第一防伪信息于数据库中;该特征图像处理模块310第二次时处理并识别印刷在承印物上的特征图像的第一特征,得到标识该承印物的特征码,并通过该特征码对应查找数据库中该承印物预先录入的第一防伪信息,识别印刷在该承印物上的特征图像的第二特征,得到该承印物的第二防伪信息;所述第二防伪信息为第一防伪信息的子集;
数据库320,通过人工比对方法或智能设备比对方法比对该第二防伪信息和该第一防伪信息相似度是否达到匹配的第一阀值;若高于该匹配的第一阀值,则该承印物为真;若低于该匹配的第一阀值,则该承印物为假;
其中,所述第一防伪信息或第二防伪信息体现为:该承印物在特征图像区域的可辨识的材料特征,或在特征图像区域内打印出的图像的色彩、形状、位置的特征。
在依据本发明的一个实施例中,该系统还包括特征图像采集模块,该特征图像采集模块适于通过光学设备采集该特征图像。
在依据本发明的一个实施例中,该系统还包括数据通讯模块,通过该数据通讯模块将包含有承印物为真或承印物为假的信息传输并显示于客户端。
在依据本发明的一个实施例中,该特征码为对应于每件承印物具有唯一的识别标识。
在依据本发明的一个实施例中,该第二特征为在该特征图像区域的可辨识的材料特征及,该特征图像全部或局部区域中具有的单个打印点或多个打印点的位置、形状、色彩特征。
在依据本发明的一个实施例中,该第一特征通过采集该特征图像中的低频分量获得;通过光学设备采用正常焦距的方式捕捉该第一特征。
在依据本发明的一个实施例中,该第二特征通过采集该特征图像中的高频分量获得;通过光学设备采用微距或正常焦距加放大辅助设备的方式捕捉该第二特征。
在依据本发明的一个实施例中,该可辨识的材料特征包括:特征区域中随机区域具有随机形状的金属线。
在依据本发明的一个实施例中,该可辨识的材料特征包括:采用非单色的混合电子油墨、墨水或碳粉喷涂至该承印物上导致特征图像的不同区域具有不同的随机颜色。
在依据本发明的一个实施例中,该图像的色彩、形状、位置的特征为:通过打印设备的不同种颜色电子油墨、墨水或碳粉的随机混合导致该非单色混合电子油墨、墨水或碳粉的颜色发生随机变化。
在依据本发明的一个实施例中,该图像的色彩、形状、位置的特征为:在形成特征图像的过程中进一步加入至少一种颜色的电子油墨、墨水或碳粉进行调配,使得该图像中的非单色混合电子油墨、墨水或碳粉中的不同种颜色电子油墨、墨水或碳粉的比例随着时间产生随机变化。
在依据本发明的一个实施例中,该特征图像预先录入的第一防伪信息为:通过光学设备预先配置该特征图像的初期防伪信息,并对应录入至该数据库中形成该第一防伪信息。
虽然已经参考若干具体实施方式描述了本发明,但是应该理解,本发明并不限于所公开的具体实施方式。本发明旨在涵盖所附权利要求的精神和范围内所包括的各种修改和等同布置。所附权利要求的范围符合最宽泛的解释,从而包含所有这样的修改及等同结构和功能。

Claims (29)

  1. 一种利用特征图像来实现承印物防伪的方法,其特征在于,包含如下步骤:
    通过识别印刷在承印物上的特征图像的第一特征,得到标识该承印物的特征码;并通过该特征码对应查找数据库中该承印物预先录入的第一防伪信息;
    通过识别印刷在该承印物上的特征图像的第二特征,得到该承印物的第二防伪信息;
    通过人工比对方法或智能设备比对方法比对该第二防伪信息和该第一防伪信息相似度是否达到匹配的第一阀值;若高于该匹配的第一阀值,则该承印物为真;若低于该匹配的第一阀值,则该承印物为假;
    其中,所述第一防伪信息体现为:该承印物在特征图像区域的可辨识的材料特征,或在特征图像区域内打印出的图像的色彩、形状、位置的特征。
  2. 根据权利要求1所述的一种利用特征图像来实现承印物防伪的方法,其特征在于,该特征码为对应于每件承印物具有的唯一的识别标识。
  3. 根据权利要求1所述的一种利用特征图像来实现承印物防伪的方法,其特征在于,该第二特征为该承印物在特征图像区域的可辨识的材料特征,或在特征图像区域内打印出的图像的色彩、形状、位置的特征。
  4. 根据权利要求1所述的一种利用特征图像来实现承印物防伪的方法,其特征在于,所述图像的色彩、形状、位置的特征体现为:特征图像全部或局部区域中具有的单个打印点或多个打印点的位置、形状、色彩特征。
  5. 根据权利要求4所述的一种利用特征图像来实现承印物防伪的方法,其特征在于,所述单个打印点或多个打印点的色彩特征是 通过打印设备的不同种颜色电子油墨、墨水或碳粉的随机混合导致该非单色混合电子油墨、墨水或碳粉的比例发生随机变化产生。
  6. 根据权利要求4所述的一种利用特征图像来实现承印物防伪的方法,其特征在于,所述多个打印点的色彩特征是通过在形成特征图像的过程中,进一步加入至少一种颜色的电子油墨、墨水或碳粉进行调配,使得组成该多个打印点中的每一打印点中不同种颜色电子油墨、墨水或碳粉的比例分别随着时间产生随机变化,致使该多个打印点中的每一打印点的颜色特征具有差异性。
  7. 根据权利要求4所述的一种利用特征图像来实现承印物防伪的方法,其特征在于,所述单个打印点的位置特征为:该单个打印点位于该特征图像中的一特定位置。
  8. 根据权利要求4所述的一种利用特征图像来实现承印物防伪的方法,其特征在于,所述多个打印点的位置特征为:所述多个打印点相互之间的排列、布置、相关性。
  9. 根据权利要求4所述的一种利用特征图像来实现承印物防伪的方法,其特征在于,所述单个打印点或多个打印点由于打印设备的性能打印形成的打印点具有的不规则的随机几何图形或若干该几何图形形成的整体图形体现所述单个打印点或多个打印点的形状特征。
  10. 根据权利要求1所述的一种利用特征图像来实现承印物防伪的方法,其特征在于,该第一特征通过采集该特征图像中的低频分量获得;通过光学设备采用正常焦距的方式捕捉该第一特征。
  11. 根据权利要求1所述的一种利用特征图像来实现承印物防伪的方法,其特征在于,该第二特征通过采集该特征图像中的高频分量获得;通过光学设备采用微距或正常焦距加放大辅助设备的方式捕捉该第二特征。
  12. 根据权利要求1所述的一种利用特征图像来实现承印物防伪的方法,其特征在于,该可辨识的材料特征包括:特征区域中的随机区域具有随机形状的金属线。
  13. 根据权利要求1所述的一种利用特征图像来实现承印物防伪的方法,其特征在于,该可辨识的材料特征包括:采用非单色的混合电子油墨、墨水或碳粉喷涂至该承印物上导致特征图像的不同区域具有不同的随机颜色。
  14. 根据权利要求1所述的一种利用特征图像来实现承印物防伪的方法,其特征在于,该图像的色彩、形状、位置的特征为:通过打印设备的不同种颜色电子油墨、墨水或碳粉的随机混合导致该非单色混合电子油墨、墨水或碳粉的颜色发生随机变化。
  15. 根据权利要求1所述的一种利用特征图像来实现承印物防伪的方法,其特征在于,该图像的色彩、形状、位置的特征为:在形成特征图像的过程中进一步加入至少一种颜色的电子油墨、墨水或碳粉进行调配,使得该图像中的非单色混合电子油墨、墨水或碳粉中的不同种颜色电子油墨、墨水或碳粉的比例随着时间产生随机变化。
  16. 根据权利要求1所述的一种利用特征图像来实现承印物防伪的方法,其特征在于,该特征图像预先录入的第一防伪信息为:通过光学设备预先配置该特征图像的初期防伪信息,并对应录入至该数据库中形成该第一防伪信息。
  17. 根据权利要求1所述的一种利用特征图像来实现承印物防伪的方法,其特征在于,该第二防伪信息为第一防伪信息的子集。
  18. 一种利用特征图像来实现承印物防伪的系统,其特征在于,该系统包括:特征图像处理模块、数据库;
    特征图像处理模块,该特征图像处理模块第一次时处理并识别印刷在承印物上的特征图像的第一特征,得到标识该承印物的特征码,该特征图像处理模块处理并识别印刷在该承印物上的特征图像的第二特征,预先录入对应的第一防伪信息于数据库中;该特征图像处理模块第二次时处理并识别印刷在承印物上的特征图像的第一特征,得到标识该承印物的特征码,并通过该特征码对应查找数据库中该承印物预先录入的第一防伪信息,识别印刷在该承印物上的特 征图像的第二特征,得到该承印物的第二防伪信息;所述第二防伪信息为第一防伪信息的子集;
    数据库,通过人工比对方法或智能设备比对方法比对该第二防伪信息和该第一防伪信息相似度是否达到匹配的第一阀值;若高于该匹配的第一阀值,则该承印物为真;若低于该匹配的第一阀值,则该承印物为假;
    其中,所述第一防伪信息或第二防伪信息体现为:该承印物在特征图像区域的可辨识的材料特征,或在特征图像区域内打印出的图像的色彩、形状、位置的特征。
  19. 根据权利要求18所述的一种利用特征图像来实现承印物防伪的系统,其特征在于,该系统还包括:
    特征图像采集模块,该特征图像采集模块适于通过光学设备采集该特征图像。
  20. 根据权利要求18所述的一种利用特征图像来实现承印物防伪的系统,其特征在于,该系统还包括:
    数据通讯模块,通过该数据通讯模块将包含有承印物为真或承印物为假的信息传输并显示于客户端。
  21. 根据权利要求18所述的一种利用特征图像来实现承印物防伪的系统,其特征在于,该特征码为对应于每件承印物具有唯一的识别标识。
  22. 根据权利要求18所述的一种利用特征图像来实现承印物防伪的系统,其特征在于,该第二特征为在该特征图像区域的可辨识的材料特征及,该特征图像全部或局部区域中具有的单个打印点或多个打印点的位置、形状、色彩特征。
  23. 根据权利要求18所述的一种利用特征图像来实现承印物防伪的系统,其特征在于,该第一特征通过采集该特征图像中的低频分量获得;通过光学设备采用正常焦距的方式捕捉该第一特征。
  24. 根据权利要求18所述的一种利用特征图像来实现承印物防伪的系统,其特征在于,该第二特征通过采集该特征图像中的高频 分量获得;通过光学设备采用微距或正常焦距加放大辅助设备的方式捕捉该第二特征。
  25. 根据权利要求18所述的一种利用特征图像来实现承印物防伪的系统,其特征在于,该可辨识的材料特征包括:特征区域中随机区域具有随机形状的金属线。
  26. 根据权利要求18所述的一种利用特征图像来实现承印物防伪的系统,其特征在于,该可辨识的材料特征包括:采用非单色的混合电子油墨、墨水或碳粉喷涂至该承印物上导致特征图像的不同区域具有不同的随机颜色。
  27. 根据权利要求18所述的一种利用特征图像来实现承印物防伪的系统,其特征在于,该图像的色彩、形状、位置的特征为:通过打印设备的不同种颜色电子油墨、墨水或碳粉的随机混合导致该非单色混合电子油墨、墨水或碳粉的颜色发生随机变化。
  28. 根据权利要求18所述的一种利用特征图像来实现承印物防伪的系统,其特征在于,该图像的色彩、形状、位置的特征为:在形成特征图像的过程中进一步加入至少一种颜色的电子油墨、墨水或碳粉进行调配,使得该图像中的非单色混合电子油墨、墨水或碳粉中的不同种颜色电子油墨、墨水或碳粉的比例随着时间产生随机变化。
  29. 根据权利要求18所述的一种利用特征图像来实现承印物防伪的系统,其特征在于,该特征图像预先录入的第一防伪信息为:通过光学设备预先配置该特征图像的初期防伪信息,并对应录入至该数据库中形成该第一防伪信息。
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