CN108230536A - One kind is to light variable security index identification method and device - Google Patents
One kind is to light variable security index identification method and device Download PDFInfo
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- 238000010606 normalization Methods 0.000 claims description 21
- 238000007781 pre-processing Methods 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 5
- 238000000605 extraction Methods 0.000 claims description 5
- 238000012795 verification Methods 0.000 abstract description 14
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- FFRBMBIXVSCUFS-UHFFFAOYSA-N 2,4-dinitro-1-naphthol Chemical group C1=CC=C2C(O)=C([N+]([O-])=O)C=C([N+]([O-])=O)C2=C1 FFRBMBIXVSCUFS-UHFFFAOYSA-N 0.000 description 1
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- 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
- G07D7/2008—Testing patterns thereon using pre-processing, e.g. de-blurring, averaging, normalisation or rotation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
- G06Q30/0185—Product, service or business identity fraud
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
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- 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
- G07D7/2016—Testing patterns thereon using feature extraction, e.g. segmentation, edge detection or Hough-transformation
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Abstract
The embodiment of the invention discloses one kind to light variable security index identification method and device, method includes：The anti-counterfeiting mark image of light variable security mark is obtained by smart machine, pretreatment obtains the images to be recognized of preset standard form；The light Variable Area of images to be recognized is extracted in color component, judges to obtain the difference condition of each color component；The difference condition is identified in standard anti-counterfeiting mark image in feature database, if passing through identification, it is determined that light variable security is identified as true identity.The anti-counterfeiting mark image of light variable security mark is obtained by intelligent terminal, does not need to other additional hardware equipment, is suitble to public use, meets personal daily verification demand；While the color component by extracting the images to be recognized, judge the difference condition of each color component of acquisition, and carry out comparing the truth identified to verify light variable security mark with the anti-counterfeiting characteristic of the standard anti-counterfeiting mark image in feature database, simple and convenient, science is reliable.
Description
Technical Field
The embodiment of the invention relates to the technical field of computers, in particular to a method and a device for identifying an optical variable anti-counterfeiting mark.
Background
At present, fake-making and counterfeit selling behaviors are rampant in the society, counterfeit trademarks are overflowed, and people have increasingly strong requirements for verifying the authenticity of the trademarks due to worries about possible purchase of counterfeit goods. The light-color light variation technology is one of leading-edge public anti-counterfeiting technologies acknowledged in the anti-counterfeiting field, the public can identify the anti-counterfeiting technology more easily, the anti-counterfeiting marks of a plurality of countries and regions including China, Russia and Euro regions are adopted in the world at present, and the application of the light-color light variation technology to other anti-counterfeiting trademarks is increased day by day. The main feature of the optically variable pattern is that it shows different colors under different illumination or at different angles, and even with only a slight shift in illumination or viewing angle, the optically variable pattern has a distinct color gradient.
The light color light variable pattern is used as an anti-counterfeiting technology, is widely applied in the anti-counterfeiting field due to the characteristics of convenient and quick identification, difficulty in counterfeiting and the like, can be used as an anti-counterfeiting mark on various publications, certificates, securities and bills, has wide application scenes and excellent commercial value, and therefore has very important practical significance and application requirements on the verification of the light color light variable pattern. In the prior art, aiming at the market of detection equipment for light color light variable patterns, the detection means is mainly verified by hand feeling and vision and other personal senses; meanwhile, at present, part of high-imitation trademarks are very vivid and are difficult to distinguish true from false only by naked eyes and hand feeling, so that imitation products have secondary and good chances and economic loss can be caused to people.
In the process of implementing the embodiment of the invention, the inventor finds that the prior art lacks a scientific verification method for the light color variable pattern.
Disclosure of Invention
Because the existing method has the problems, the embodiment of the invention provides a method and a device for identifying an optical variable anti-counterfeiting mark.
In a first aspect, an embodiment of the present invention provides a method for identifying an optically variable anti-counterfeit mark, including:
acquiring an anti-counterfeiting mark image of an optically variable anti-counterfeiting mark through intelligent equipment, and preprocessing the anti-counterfeiting mark image to obtain an image to be recognized in a preset standard form;
extracting color components of the light variable region of the image to be recognized under a plurality of preset angles, and judging to obtain the difference condition of each color component;
and identifying the difference condition according to the anti-counterfeiting characteristics of the standard anti-counterfeiting identification image in the characteristic library, and if the difference condition passes the identification, determining that the optically variable anti-counterfeiting identification is a real identification.
Optionally, the method includes acquiring an anti-counterfeit image of the optically variable anti-counterfeit mark through the smart device, and preprocessing the anti-counterfeit image to obtain an image to be recognized in a preset standard form, and specifically includes:
the method comprises the steps of obtaining an anti-counterfeiting mark image of an optically variable anti-counterfeiting mark through intelligent equipment, and preprocessing the anti-counterfeiting mark image according to a linear normalization method, a non-linear normalization method or an image moment normalization method to obtain an image to be recognized in a preset standard form.
Optionally, the extracting color components of the light variable region of the image to be recognized at a plurality of preset angles, and determining to obtain a difference condition of each color component specifically includes:
and extracting color components of the light variable region of the image to be identified under a plurality of preset angles, and judging and obtaining the difference condition of each color component of a red, green and blue (RGB) or brightness and chrominance YUV color model according to least square estimation or similarity estimation.
Optionally, the identifying the difference condition according to the anti-counterfeiting feature of the standard anti-counterfeiting mark image in the feature library, and if the difference condition passes the identifying, before determining that the optically variable anti-counterfeiting mark is a real mark, further includes:
and acquiring the standard anti-counterfeiting mark image submitted by the merchant, extracting the anti-counterfeiting characteristics of the standard anti-counterfeiting mark image, and storing the anti-counterfeiting characteristics into the characteristic library.
Optionally, the smart device comprises a laptop, a smartphone, or a tablet computer.
Optionally, the location of the optically variable security feature comprises a banknote, a security document, a certificate, or a trademark.
In a second aspect, an embodiment of the present invention further provides an apparatus for identifying an optically variable anti-counterfeit mark, including:
the image preprocessing module is used for acquiring an anti-counterfeiting mark image of the optically variable anti-counterfeiting mark through intelligent equipment, and preprocessing the anti-counterfeiting mark image to obtain an image to be recognized in a preset standard form;
the color component extraction module is used for extracting color components of the light variable region of the image to be identified under a plurality of preset angles and judging and obtaining the difference condition of each color component;
and the image identification module is used for identifying the difference condition according to the anti-counterfeiting characteristics of the standard anti-counterfeiting identification image in the characteristic library, and if the difference condition passes the identification, the optically variable anti-counterfeiting identification is determined to be a real identification.
Optionally, the image preprocessing module is specifically configured to obtain an anti-counterfeit label image of the optically variable anti-counterfeit label through an intelligent device, and preprocess the anti-counterfeit label image according to a linear normalization method, a nonlinear normalization method, or an image moment normalization method to obtain an image to be recognized in a preset standard form.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, which when called by the processor are capable of performing the above-described methods.
In a fourth aspect, an embodiment of the present invention further provides a non-transitory computer-readable storage medium storing a computer program, which causes the computer to execute the above method.
According to the technical scheme, the anti-counterfeiting mark image of the optically variable anti-counterfeiting mark is obtained through the intelligent terminal, other additional hardware equipment is not needed, the optically variable anti-counterfeiting mark image is suitable for the public, and the daily verification requirement of a person is met; meanwhile, the color components of the image to be recognized are extracted, the difference condition of each color component is judged and obtained, and the difference condition is compared with the anti-counterfeiting characteristics of the standard anti-counterfeiting identification image in the characteristic library to verify the real condition of the optically variable anti-counterfeiting identification, so that the method is simple, convenient, scientific and reliable.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for identifying an optically variable anti-counterfeit mark according to an embodiment of the present invention;
fig. 2 is a schematic diagram of three optically variable anti-counterfeit markers according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a method for identifying an optically variable anti-counterfeit mark according to another embodiment of the present invention;
FIG. 4 is a flowchart illustrating a standard library establishment and update according to another embodiment of the present invention;
fig. 5 is a schematic structural diagram of an optical variable anti-counterfeit identification apparatus according to an embodiment of the present invention;
fig. 6 is a logic block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following further describes embodiments of the present invention with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Fig. 1 shows a schematic flow chart of a method for identifying an optically variable anti-counterfeit mark according to this embodiment, which includes:
s101, acquiring an anti-counterfeiting mark image of the optically variable anti-counterfeiting mark through intelligent equipment, and preprocessing the anti-counterfeiting mark image to obtain an image to be recognized in a preset standard form.
The intelligent device comprises a notebook computer, a smart phone or a tablet computer.
The development of modern intelligent equipment is changing day by day, the configuration of software and hardware is continuously improved, the function is perfect day by day, the camera is basically equipped with, and various applications emerge endlessly, can satisfy various demands of people, have become the indispensable important tool of modern society, have very big occupation rate and application space, therefore the intelligent equipment of this embodiment uses very conveniently.
It should be noted that other hardware devices may also be used to obtain the anti-counterfeit mark image of the optically variable anti-counterfeit mark, and pre-process the anti-counterfeit mark image to obtain the image to be recognized in the preset standard form.
The position of the optically variable anti-counterfeiting mark comprises a banknote, a negotiable securities, a certificate or a trademark.
S102, extracting color components of the light variable region of the image to be recognized under a plurality of preset angles, and judging to obtain the difference condition of each color component.
Specifically, color components of a plurality of different angles in the light variable region of the image to be recognized are extracted, and color component information of the image is used as a key parameter for measuring color variation of the light color light variable pattern.
S103, identifying the difference condition according to the anti-counterfeiting characteristics of the standard anti-counterfeiting identification image in the characteristic library, and if the difference condition passes the identification, determining that the optically variable anti-counterfeiting identification is a real identification.
Specifically, a standard anti-counterfeiting mark image of a certain standard is arranged in a feature library, the standard anti-counterfeiting mark image is used for being compared with a shot image or video, the shot image or video is calibrated by referring to the standard anti-counterfeiting mark image, so that part or all features of the anti-counterfeiting mark pattern are extracted, and then recognition and authenticity identification are carried out.
The main feature of optically variable patterns is that they show different colors under different illumination or at different angles, even if there is only a slight shift in illumination or viewing angle, there is a clear gradual change in color. Taking the light variable pattern of 2015 edition 100 yuan RMB as an example, as shown in fig. 2, the light variable patterns are light variable patterns of three different angles, when the visible number 100 is seen in a direction vertical to the ticket surface, the visible number is golden yellow, the visible number gradually changes into green when rotating to a head-up angle, and a light band rotates to move up and down. By capturing the color change, the color component gradient situation is analyzed and judged, and the authenticity of the optically variable pattern is verified.
The authenticity of the anti-counterfeiting mark is identified according to the gloss change anti-counterfeiting characteristic of the bearing object. Optically variable patterns are images or pictures or security markings printed using optically variable inks that appear in different colors (natural or focused light set, artificial light, but not limited to) at different angles. Specifically, as shown in fig. 3, the intelligent device is used for photographing, scanning or sharing the anti-counterfeiting mark image, and after the anti-counterfeiting feature is extracted after the image is aligned, the feature matching and detection verification are performed, so that the method has the advantages of high accuracy and flexible and convenient use. Only the local characteristics of the optically variable pattern at different angles need to be acquired, and the authenticity of the optically variable pattern can be judged after the locally characteristics are analyzed by a verification algorithm. Only the identification software is downloaded and installed on the intelligent terminal and the equipment to finish the authenticity verification identification, other additional hardware equipment is not needed, the method is simple and convenient, the method is suitable for the public to use, and the daily verification requirement of the individual is met. Meanwhile, the method can also verify the anti-counterfeiting marks such as bills, paper money tickets, certificates and the like based on the light-variable anti-counterfeiting marks (images and the like), can upload related information to the cloud, is convenient for personal precaution and anti-counterfeiting supervision, and reduces the flooding of counterfeit and shoddy products.
According to the embodiment, the anti-counterfeiting mark image of the optically variable anti-counterfeiting mark is acquired through the intelligent terminal, other additional hardware equipment is not needed, the optically variable anti-counterfeiting mark image is suitable for the public, and the daily verification requirement of an individual is met; meanwhile, the color components of the image to be recognized are extracted, the difference condition of each color component is judged and obtained, and the difference condition is compared with the anti-counterfeiting characteristics of the standard anti-counterfeiting identification image in the characteristic library to verify the real condition of the optically variable anti-counterfeiting identification, so that the method is simple, convenient, scientific and reliable.
Further, on the basis of the above method embodiment, S101 specifically includes:
the method comprises the steps of obtaining an anti-counterfeiting mark image of an optically variable anti-counterfeiting mark through intelligent equipment, and preprocessing the anti-counterfeiting mark image according to a linear normalization method, a non-linear normalization method or an image moment normalization method to obtain an image to be recognized in a preset standard form.
By performing linear normalization processing, nonlinear normalization processing or image moment normalization processing on the anti-counterfeiting identification image, the acquired anti-counterfeiting identification images with different sizes, brightness and other characteristics can be standardized, so that the image is converted into a fixed standard form, and a corresponding anti-counterfeiting identification area is conveniently extracted for verification.
In the embodiment, under the condition that the intelligent equipment is not provided with hardware, the authenticity verification of the anti-counterfeiting mark can be completed only by installing the identification application of the intelligent equipment provided with the camera. The verification conditions can be effectively reduced, and the daily verification efficiency of people on the anti-counterfeiting mark can be improved; by carrying out feature transformation on the image, capturing the color change of the light color light variable pattern under different angles, and setting a proper threshold value, the authenticity detection of the anti-counterfeiting mark is realized. The method has low requirements on scenes in application, can detect other trademarks containing the light variable patterns, and has excellent popularization value and market prospect.
Further, on the basis of the above method embodiment, S102 specifically includes:
and extracting color components of the light variable region of the image to be identified under a plurality of preset angles, and judging and obtaining the difference condition of each color component of a red, green and blue (RGB) or brightness and chrominance YUV color model according to least square estimation or similarity estimation.
Specifically, due to the variation of the color of the optically variable pattern at different angles, it can be considered that the variation of the color components in the color model such as RGB or YUV is caused at different angles. Firstly, color components of the image area part of the optically variable pattern under different angles are extracted to be used as a judgment basis of the color change condition, and the color component difference condition of the pattern under different angles is judged by using methods such as but not limited to least square estimation, similarity estimation and the like, so that the authenticity identification of the optically variable pattern is conveniently and finally realized.
Further, on the basis of the above embodiment of the method, S103 further includes:
s1023, obtaining the standard anti-counterfeiting mark image submitted by the merchant, extracting the anti-counterfeiting features of the standard anti-counterfeiting mark image, and storing the anti-counterfeiting features into the feature library.
Specifically, the merchant submits the registered trademark to the supervision platform and submits the anti-counterfeiting features of the trademark together, specifically, as shown in fig. 4, after the platform receives the suspected counterfeit trademark, the platform performs learning training on the anti-counterfeiting features of the trademark, registers the suspected counterfeit trademark in the feature library, and can verify the authenticity of the anti-counterfeiting mark in the library. Specifically, the face information of the uploaded counterfeit anti-counterfeiting mark can be sorted, classified and analyzed, the counterfeit characteristics of the counterfeit anti-counterfeiting mark are researched, the counterfeit characteristics are analyzed to improve the verified anti-counterfeiting characteristic identification parameters, the identification algorithm is optimized, the identification range is refined, the identification efficiency is improved, related law enforcement departments supervise and reduce the property loss of user groups in time, and the counterfeit anti-counterfeiting mark can be technically improved by counterfeit anti-counterfeiting mark manufacturers.
Fig. 5 shows a schematic structural diagram of an optical variable anti-counterfeit identification device provided in this embodiment, where the device includes: an image pre-processing module 501, a color component extraction module 502, and an image recognition module 503, wherein:
the image preprocessing module 501 is configured to acquire an anti-counterfeit mark image of an optically variable anti-counterfeit mark through an intelligent device, and preprocess the anti-counterfeit mark image to obtain an image to be recognized in a preset standard form.
The color component extraction module 502 is configured to extract color components of the light variable region of the image to be recognized at a plurality of preset angles, and determine to obtain a difference condition of each color component.
The image recognition module 503 is configured to recognize the difference according to the anti-counterfeit feature of the standard anti-counterfeit mark image in the feature library, and if the difference passes the recognition, it is determined that the optically variable anti-counterfeit mark is a real mark.
Specifically, the image preprocessing module 501 obtains an anti-counterfeit mark image of the optically variable anti-counterfeit mark through an intelligent device, and preprocesses the anti-counterfeit mark image to obtain an image to be recognized in a preset standard form. The color component extraction module 502 extracts color components of the light variable region of the image to be recognized at a plurality of preset angles, and determines to obtain a difference condition of each color component. The image recognition module 503 recognizes the difference according to the anti-counterfeit features of the standard anti-counterfeit mark images in the feature library, and if the difference passes the recognition, the optically variable anti-counterfeit mark is determined to be a real mark.
According to the embodiment, the anti-counterfeiting mark image of the optically variable anti-counterfeiting mark is acquired through the intelligent terminal, other additional hardware equipment is not needed, the optically variable anti-counterfeiting mark image is suitable for the public, and the daily verification requirement of an individual is met; meanwhile, the color components of the image to be recognized are extracted, the difference condition of each color component is judged and obtained, and the difference condition is compared with the anti-counterfeiting characteristics of the standard anti-counterfeiting identification image in the characteristic library to verify the real condition of the optically variable anti-counterfeiting identification, so that the method is simple, convenient, scientific and reliable.
Further, on the basis of the above device embodiment, the image preprocessing module 501 is specifically configured to obtain an anti-counterfeit mark image of the optically variable anti-counterfeit mark through an intelligent device, and preprocess the anti-counterfeit mark image according to a linear normalization method, a non-linear normalization method, or an image moment normalization method to obtain an image to be recognized in a preset standard form.
Further, on the basis of the above device embodiment, the color component extracting module 502 is specifically configured to extract color components of the light variable region of the image to be identified at a plurality of preset angles, and determine and obtain a difference condition of each color component of the RGB or luminance-chrominance YUV color model according to least square estimation or similarity estimation.
Further, on the basis of the above embodiment of the apparatus, the apparatus further comprises:
and the characteristic library adding module is used for acquiring the standard anti-counterfeiting mark image submitted by the merchant, extracting the anti-counterfeiting characteristics of the standard anti-counterfeiting mark image and storing the anti-counterfeiting characteristics into the characteristic library.
Further, on the basis of the above device embodiment, the smart device includes a notebook computer, a smart phone, or a tablet computer.
Further, on the basis of the above device embodiment, the position of the optically variable security mark includes a banknote, a securities, a certificate or a trademark.
The device for identifying an optically variable anti-counterfeiting mark according to the embodiment can be used for executing the method embodiment, and the principle and the technical effect are similar, and are not described herein again.
Referring to fig. 6, the electronic device includes: a processor (processor)601, a memory (memory)602, and a bus 603;
wherein,
the processor 601 and the memory 602 communicate with each other through the bus 603;
the processor 601 is used for calling the program instructions in the memory 602 to execute the methods provided by the above-mentioned method embodiments.
The present embodiments disclose a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the methods provided by the above-described method embodiments.
The present embodiments provide a non-transitory computer-readable storage medium storing computer instructions that cause the computer to perform the methods provided by the method embodiments described above.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
It should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for identifying an optically variable anti-counterfeiting mark is characterized by comprising the following steps:
acquiring an anti-counterfeiting mark image of an optically variable anti-counterfeiting mark through intelligent equipment, and preprocessing the anti-counterfeiting mark image to obtain an image to be recognized in a preset standard form;
extracting color components of the light variable region of the image to be recognized under a plurality of preset angles, and judging to obtain the difference condition of each color component;
and identifying the difference condition according to the anti-counterfeiting characteristics of the standard anti-counterfeiting identification image in the characteristic library, and if the difference condition passes the identification, determining that the optically variable anti-counterfeiting identification is a real identification.
2. The method according to claim 1, wherein the obtaining of the anti-counterfeit label image of the optically variable anti-counterfeit label by the smart device, and the preprocessing of the anti-counterfeit label image to obtain the image to be recognized in the preset standard form specifically comprises:
the method comprises the steps of obtaining an anti-counterfeiting mark image of an optically variable anti-counterfeiting mark through intelligent equipment, and preprocessing the anti-counterfeiting mark image according to a linear normalization method, a non-linear normalization method or an image moment normalization method to obtain an image to be recognized in a preset standard form.
3. The method according to claim 1, wherein the extracting color components of the light-variable region of the image to be recognized at a plurality of preset angles and determining differences of the color components comprises:
and extracting color components of the light variable region of the image to be identified under a plurality of preset angles, and judging and obtaining the difference condition of each color component of a red, green and blue (RGB) or brightness and chrominance YUV color model according to least square estimation or similarity estimation.
4. The method according to claim 1, wherein the identifying the difference according to the security features of the standard security mark images in the feature library, and if the identifying is passed, before determining that the optically variable security mark is a real mark, further comprises:
and acquiring the standard anti-counterfeiting mark image submitted by the merchant, extracting the anti-counterfeiting characteristics of the standard anti-counterfeiting mark image, and storing the anti-counterfeiting characteristics into the characteristic library.
5. The method of any of claims 1-4, wherein the smart device comprises a laptop, a smartphone, or a tablet.
6. The method according to any of claims 1-4, wherein the location of the optically variable security feature comprises a banknote, a value document, a certificate, or a trademark.
7. An apparatus for recognizing optically variable security features, comprising:
the image preprocessing module is used for acquiring an anti-counterfeiting mark image of the optically variable anti-counterfeiting mark through intelligent equipment, and preprocessing the anti-counterfeiting mark image to obtain an image to be recognized in a preset standard form;
the color component extraction module is used for extracting color components of the light variable region of the image to be identified under a plurality of preset angles and judging and obtaining the difference condition of each color component;
and the image identification module is used for identifying the difference condition according to the anti-counterfeiting characteristics of the standard anti-counterfeiting identification image in the characteristic library, and if the difference condition passes the identification, the optically variable anti-counterfeiting identification is determined to be a real identification.
8. The device according to claim 7, wherein the image preprocessing module is specifically configured to acquire the anti-counterfeit label image of the optically variable anti-counterfeit label through an intelligent device, and preprocess the anti-counterfeit label image according to a linear normalization method, a non-linear normalization method, or an image moment normalization method to obtain the image to be recognized in a preset standard form.
9. An electronic device, comprising:
at least one processor; and
at least one memory communicatively coupled to the processor, wherein:
the memory stores program instructions executable by the processor, the processor invoking the program instructions to perform the method of any of claims 1 to 6.
10. A non-transitory computer-readable storage medium storing a computer program that causes a computer to perform the method according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711464611.1A CN108230536A (en) | 2017-12-28 | 2017-12-28 | One kind is to light variable security index identification method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711464611.1A CN108230536A (en) | 2017-12-28 | 2017-12-28 | One kind is to light variable security index identification method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108230536A true CN108230536A (en) | 2018-06-29 |
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| CN111291797A (en) * | 2020-01-21 | 2020-06-16 | 支付宝实验室(新加坡)有限公司 | A kind of anti-counterfeiting identification method, device and electronic equipment |
| CN112560989A (en) * | 2020-12-25 | 2021-03-26 | 烟台职业学院 | Artificial intelligence anti-counterfeiting image identification method and system based on big data |
| CN111553317B (en) * | 2020-05-14 | 2023-08-08 | 北京惠朗时代科技有限公司 | Anti-fake code acquisition method and device, computer equipment and storage medium |
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