CN103927668B - Based on shooting picture and method of the picture comparing result to distinguish authenticity of products that prestore - Google Patents
Based on shooting picture and method of the picture comparing result to distinguish authenticity of products that prestore Download PDFInfo
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- CN103927668B CN103927668B CN201410148853.XA CN201410148853A CN103927668B CN 103927668 B CN103927668 B CN 103927668B CN 201410148853 A CN201410148853 A CN 201410148853A CN 103927668 B CN103927668 B CN 103927668B
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- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000000605 extraction Methods 0.000 claims abstract description 21
- 238000001228 spectrum Methods 0.000 claims description 6
- 230000004069 differentiation Effects 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 abstract description 5
- 238000002329 infrared spectrum Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000005336 cracking Methods 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
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Abstract
The present invention provides a kind of based on shooting picture and prestoring picture comparing result in the method for distinguishing authenticity of products, comprises the following steps：The usable anti-counterfeiting mark picture of acquisition is parsed using picture feature extraction algorithm, to form corresponding decimal data a；The anti-counterfeiting mark picture prestored is parsed using picture feature extraction algorithm, to form corresponding decimal data b；When decimal data a is identical with decimal data b, it is true to show the product with anti-counterfeiting mark picture, and otherwise, it is false to show the product with anti-counterfeiting mark picture.The present invention realizes the true and false discriminating to product, adds the safety guarantee of consumer according to the result drawn after the anti-counterfeiting mark being implanted on current production and the anti-counterfeiting mark image comparison prestored.By image preset when the anti-counterfeiting mark image that prestores is product export, when the anti-counterfeiting mark image and the anti-counterfeiting mark image that prestores of shooting is same results, it is determined that current production is true.
Description
Technical field
Method for distinguishing is distinguished the present invention relates to a kind of authenticity of products, it is especially a kind of based on shooting picture and the picture contrast that prestores
As a result the method to distinguish authenticity of products.
Background technology
In the modern society of scientific and technological high speed development, scientific and technological progress also brings the continuous progressive of existing goods and sent out
Exhibition, but while commodity are continued to develop, many illegal practitioners take unlawful means to forge other just when manufacturer
Product, reaped staggering profits with counterfeit and shoddy goods.Existing anti-counterfeiting technology is mostly to use phone or planar bar code technology with to distinguishing
The true and false of other commodity.However, planar bar code technology excessively circulates now, illegal retailer to it after cracking, to proper life
Production producer and brand business bring extreme loss, and consumer is after these fake and inferior commodities are bought, security also without
Method is protected.
The content of the invention
Weak point present in regarding to the issue above, the present invention provides one kind and uses picture way of contrast to learn currently
Commodity true and false based on shooting picture and prestore method of the picture comparing result to distinguish authenticity of products.
To achieve the above object, the present invention provides one kind based on shooting picture and prestores picture comparing result to distinguish product
The method of the true and false, comprises the following steps：
The usable anti-counterfeiting mark picture of acquisition is parsed using picture feature extraction algorithm, it is corresponding to be formed
Decimal data a；
The anti-counterfeiting mark picture prestored is parsed using picture feature extraction algorithm, entered with forming corresponding ten
Data b processed；
When decimal data a is identical with decimal data b, show the product with anti-counterfeiting mark picture be it is true, otherwise,
It is false to show the product with anti-counterfeiting mark picture.
Above-mentioned method, wherein, the above method is comprised the following steps that：
Anti-counterfeiting mark picture is obtained using infrared light supply；
When it is determined that anti-counterfeiting mark picture is that picture can be used, using picture feature extraction algorithm to anti-counterfeiting mark can be used
Picture is parsed, to form corresponding decimal data a；
Call the anti-counterfeiting mark picture prestored in memory；
The anti-counterfeiting mark picture prestored is parsed using picture feature extraction algorithm, entered with forming corresponding ten
Data b processed；
When decimal data a is identical with decimal data b, show the product with anti-counterfeiting mark picture be it is true, otherwise,
It is false to show the product with anti-counterfeiting mark picture.
Above-mentioned method, wherein, automatic exposure processing is carried out to getting anti-counterfeiting mark picture, to distinguish the figure after processing
Whether piece is workable anti-counterfeiting mark picture, and its step is：
Filter out unnecessary spectrum；
Catch remaining spectrum；
Adjust the grey level of picture；
When the grey level of picture is reached between 110~200, judge the anti-counterfeiting mark picture photographed figure can be used
Piece.
Above-mentioned method, wherein, using picture feature extraction algorithm is to workable anti-counterfeiting mark picture and prestores
Anti-counterfeiting mark picture parsed before, first workable anti-counterfeiting mark picture and the anti-counterfeiting mark picture prestored are solved
Code and CRC check, to form code value information corresponding thereto, and differentiation header file information is believed with feature in code value information
Breath.
Above-mentioned method, wherein, characteristic information includes code value concordance list（CodeIndexTable）, code value bulleted list
（CodeTable）, RAW data item tables（RawDataItemTable）With resource/RAW data（Resource/RawData）.
Above-mentioned method, wherein, use picture feature extraction algorithm to can be used anti-counterfeiting mark picture characteristic information with
And the characteristic information for the anti-counterfeiting mark picture that prestores is parsed, so as to obtain decimal data a and decimal data b respectively.
Compared with prior art, the present invention has advantages below：
Drawn after the present invention basis anti-counterfeiting mark being implanted on current production and the anti-counterfeiting mark image comparison prestored
As a result, so as to realize the true and false discriminating to product, the safety guarantee of consumer is considerably increased.Due to the anti-counterfeiting mark image that prestores
The image preset for product export, after judgement, when the anti-counterfeiting mark image and the anti-counterfeiting mark image that prestores of shooting are same
During one result, it may be determined that current production is true.
Brief description of the drawings
Fig. 1 is flow chart of the invention；
Fig. 2 is the structured flowchart of code value information in the present invention.
Embodiment
As shown in Figures 1 and 2, it is of the invention to comprise the following steps that：
S1, using infrared light supply obtain anti-counterfeiting mark picture.
Infrared light supply sends infrared spectrum from the surface for being radiated at anti-counterfeiting mark, irradiation of the industry camera in infrared spectrum
Under, captured with every 30ms speed to an anti-counterfeiting mark picture.
Whether the anti-counterfeiting mark picture that S2, judgement are got is workable anti-counterfeiting mark picture, if the determination result is YES,
Step S3 is then performed, structure is no, return to step S1 if judging, reacquire anti-counterfeiting mark picture.
Automatic exposure processing is carried out to getting anti-counterfeiting mark picture, to distinguish whether the picture after processing is workable
Anti-counterfeiting mark picture, its step is：
By optical filter to filter out spectrum unnecessary in anti-counterfeiting mark picture；
Remaining spectrum in anti-counterfeiting mark picture is caught by optical lens；
Pass through the grey level of camera adjusting anti-counterfeiting mark picture；
When the grey level of anti-counterfeiting mark picture after regulation is reached between 110~200, the anti-counterfeiting mark photographed is judged
Picture is that picture can be used, otherwise, and return to step S1 reacquires anti-counterfeiting mark picture.
S3, workable anti-counterfeiting mark picture is stored in the spatial cache of memory, in order to be carried out subsequently to it
Extraction and call.
S4, using picture feature extraction algorithm to can be used anti-counterfeiting mark picture parse, it is corresponding to be formed
Decimal data a.
Before being parsed using picture feature extraction algorithm to workable anti-counterfeiting mark picture, first to workable anti-
Puppet mark picture is decoded and CRC check, to form code value information corresponding thereto.Area goes out text separately in code value information
Part information（FileHeader）With characteristic information.
Wherein, characteristic information includes code value concordance list（CodeIndexTable）, code value bulleted list
（CodeTable）, RAW data item tables（RawDataItemTable）With resource/RAW data（Resource/RawData）.
The characteristic information part that anti-counterfeiting mark picture can be used is parsed using picture feature extraction algorithm, so as to obtain
Get decimal data a corresponding thereto.
S5, call the anti-counterfeiting mark picture prestored in memory.
Wherein, the anti-counterfeiting mark picture prestored is the picture corresponding with the anti-counterfeiting mark being implanted in actual products.
S6, using picture feature extraction algorithm the anti-counterfeiting mark picture prestored is parsed, it is corresponding to be formed
Decimal data b.
Before being parsed to the anti-counterfeiting mark picture prestored using picture feature extraction algorithm, the first anti-counterfeiting label to prestoring
Know picture to be decoded and CRC check, to form code value information corresponding thereto.Area goes out parted hair file letter in code value information
Breath（FileHeader）With characteristic information.
Wherein, characteristic information includes code value concordance list（CodeIndexTable）, code value bulleted list
（CodeTable）, RAW data item tables（RawDataItemTable）With resource/RAW data（Resource/RawData）.
The characteristic information part of anti-counterfeiting mark picture using picture feature extraction algorithm to prestoring is parsed, so as to obtain
Get decimal data b corresponding thereto.
S7, judge whether decimal data a and decimal data b are identical, if judged result is identical, show with anti-
The product of puppet mark picture is true；If judged result is differs, it is false to show the product with anti-counterfeiting mark picture.
Presently preferred embodiments of the present invention is the foregoing is only, is merely illustrative for invention, and it is nonrestrictive.
Those skilled in the art understands, can carry out many changes to it in the spirit and scope that invention claim is limited, and changes,
It is even equivalent, but fall within protection scope of the present invention.
Claims (3)
1. it is a kind of based on shooting picture and prestoring picture comparing result in the method for distinguishing authenticity of products, comprise the following steps：
The usable anti-counterfeiting mark picture of acquisition is parsed using picture feature extraction algorithm, to form corresponding ten
Binary data a；
The anti-counterfeiting mark picture prestored is parsed using picture feature extraction algorithm, to form corresponding decimal number
According to b；
When decimal data a is identical with decimal data b, shows that the product with anti-counterfeiting mark picture is true, otherwise, show
Product with anti-counterfeiting mark picture is false, and the above method is comprised the following steps that：
Anti-counterfeiting mark picture is obtained using infrared light supply；
When it is determined that anti-counterfeiting mark picture is that picture can be used, using picture feature extraction algorithm to anti-counterfeiting mark picture can be used
Parsed, to form corresponding decimal data a；
Call the anti-counterfeiting mark picture prestored in memory；
The anti-counterfeiting mark picture prestored is parsed using picture feature extraction algorithm, to form corresponding decimal number
According to b；
When decimal data a is identical with decimal data b, shows that the product with anti-counterfeiting mark picture is true, otherwise, show
Product with anti-counterfeiting mark picture is false；Using picture feature extraction algorithm to workable anti-counterfeiting mark picture and pre-
Before the anti-counterfeiting mark picture deposited is parsed, first workable anti-counterfeiting mark picture and the anti-counterfeiting mark picture prestored are carried out
Decoding and CRC check, to form code value information corresponding thereto, and differentiation header file information is believed with feature in code value information
Breath, characteristic information includes code value concordance list（CodeIndexTable）, code value bulleted list（CodeTable）, RAW data item
Table（RawDataItemTable）With resource/RAW data（Resource/RawData）.
2. according to the method described in claim 1, it is characterised in that carried out to getting anti-counterfeiting mark picture at automatic exposure
Reason, to distinguish whether the picture after processing is workable anti-counterfeiting mark picture, its step is：
Filter out unnecessary spectrum；
Catch remaining spectrum；
Adjust the grey level of picture；
When the grey level of picture is reached between 110 ~ 200, judge the anti-counterfeiting mark picture photographed as usable picture.
3. according to the method described in claim 1, it is characterised in that using picture feature extraction algorithm to anti-counterfeiting mark can be used
The characteristic information of the characteristic information of picture and the anti-counterfeiting mark picture that prestores is parsed, so as to obtain decimal data a respectively
With decimal data b.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201410148853.XA CN103927668B (en) | 2014-04-14 | 2014-04-14 | Based on shooting picture and method of the picture comparing result to distinguish authenticity of products that prestore |
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| CN201410148853.XA CN103927668B (en) | 2014-04-14 | 2014-04-14 | Based on shooting picture and method of the picture comparing result to distinguish authenticity of products that prestore |
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| CN103927668A CN103927668A (en) | 2014-07-16 |
| CN103927668B true CN103927668B (en) | 2017-10-24 |
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Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104268609A (en) * | 2014-09-04 | 2015-01-07 | 立德高科(北京)数码科技有限责任公司 | Novel anti-counterfeit mark and method for distinguishing novel anti-counterfeit mark |
| CN104318419A (en) * | 2014-11-12 | 2015-01-28 | 常熟市威腾进出口有限公司 | Loading and unloading deployment system for clothes |
| CN105740926A (en) * | 2016-01-28 | 2016-07-06 | 廖江龙 | Anti-counterfeiting method and anti-counterfeiting system |
| CN106815731A (en) * | 2016-12-27 | 2017-06-09 | 华中科技大学 | A kind of label anti-counterfeit system and method based on SURF Image Feature Matchings |
| CN108040050A (en) * | 2017-12-12 | 2018-05-15 | 任天民 | A kind of primary photo identification method and application |
| US20190188729A1 (en) * | 2017-12-18 | 2019-06-20 | Beijing Jingdong Shangke Information Technology Co., Ltd. | System and method for detecting counterfeit product based on deep learning |
| WO2020082384A1 (en) * | 2018-10-26 | 2020-04-30 | 合刃科技（深圳）有限公司 | Spectral anti-counterfeiting identification system, and methods for preparing and decoding spectral anti-counterfeiting code |
| CN110705586A (en) * | 2019-08-27 | 2020-01-17 | 深圳模德宝科技有限公司 | Method and system for confirming that workpiece exists in material rack |
| CN111523910A (en) * | 2020-04-17 | 2020-08-11 | 济南浪潮高新科技投资发展有限公司 | Tea brick identification method and system based on Siamese Network |
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| US20100111445A1 (en) * | 2008-11-05 | 2010-05-06 | Chih-Yi Yang | Portable image-extracting device for identifying tiny images and method of the same |
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| CN1893694A (en) * | 2005-07-08 | 2007-01-10 | 杭州波导软件有限公司 | Pick-up head hand-set with bar-code anti-fake inquirling function and anti-fake inquiring system |
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Inventor after: Yao Wei Inventor after: Wan Hongyu Inventor before: Yao Wei Inventor before: Jiang Yuntong Inventor before: Wan Hongyu |
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Free format text: CORRECT: INVENTOR; FROM: YAO WEI JIANG YUNTONG WAN HONGYU TO: YAO WEI WAN HONGYU |
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Effective date of registration: 20191120 Address after: 215500 No.18, Zengfu Road, Baimao, Guli Town, Changshu, Suzhou, Jiangsu Province Patentee after: Suzhou Zhigao Jiahua Technology Co.,Ltd. Address before: 100081 Beijing city Haidian District Daliushu Road No. 17 Fu Hai Hong Kong International room 803 Patentee before: LEADER TECH DIGITAL TECHNOLOGY Co.,Ltd. |
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Effective date of registration: 20221221 Address after: 276800 R&D Building No. 8, Electronic Information Industrial Park, Gaoxin 7th Road, Rizhao Hi tech Zone, Shandong Province 237, Xueyuan Road, Rizhao Hi tech Zone, Shandong Province Patentee after: Rizhao Xinrui Investment Promotion Development Co.,Ltd. Address before: 215500 No.18, Baimao Zengfu Road, Guli Town, Changshu City, Suzhou City, Jiangsu Province Patentee before: Suzhou Zhigao Jiahua Technology Co.,Ltd. |