CN104794519B - A kind of cloud identification system and cloud discrimination method - Google Patents
A kind of cloud identification system and cloud discrimination method Download PDFInfo
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- CN104794519B CN104794519B CN201510230728.8A CN201510230728A CN104794519B CN 104794519 B CN104794519 B CN 104794519B CN 201510230728 A CN201510230728 A CN 201510230728A CN 104794519 B CN104794519 B CN 104794519B
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- texture
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Abstract
The invention discloses a kind of cloud identification systems and cloud discrimination method, this method to include：Businessman applies for bar code；The texture that will dispatch from the factory carries out feature extraction and is uploaded in the server of cloud data identification system after being bound with the bar code corresponding to commodity after compressing；Label is pasted onto on commodity；Bar code on client scan label is done feature extraction to the texture on label, is uploaded in cloud data identification system；Cloud data identification system goes out the manufacture textural characteristics of typing according to barcode inquiry, and the textural characteristics uploaded to client differentiate, the related merchandise news bound in identification result and bar code, return to cell-phone customer terminal.The manufacture texture uploading speed of the present invention is fast, and posting can be arbitrarily arranged, and texture can be arbitrarily arranged, and the application time of bar code can inquire in system, and can realize networking geographical coordinate verification, and textural characteristics are difficult to be replicated imitation, can realize and accurately and effectively differentiate.
Description
Technical field
The invention belongs to field of anti-counterfeit technology more particularly to a kind of cloud identification systems and cloud discrimination method.
Background technology
Existing grain anti-fake method mainly has：
Texture anti-fake, principle are：Fiber is sprinkled at random in paper pulp or film, produces stable structure, visual signature
Clearly identify, what each mark was randomly formed, it is unique and not reproducible, it is printed as antifalsification label；To each piece
Antifalsification label publishes a plain code serial number, and corresponding Quick Response Code is produced according to serial number；Scan two on each piece of antifalsification label
Code is tieed up, and shoots the digital photograph of original factory product；By each photo storage to the Antiforge inquiry system number on internet
According in library, consulted for masses.Consumer and manager's available pat see that searching platform transfers sticker photo, if passing through verification
Whether the filametntary position of dry item and direction are consistent, to compare inquiry, tell truth from falsehood.
Advantage：Principle is classical, and theoretical foundation is strong, differentiates that accuracy rate is high, imitation difficulty is big.
Disadvantage：(1) picture on-line normalization data volume is larger, at least requires 3g networks, and expend flow, or can only be
It is inquired on computer；(2) comparatively human eye comparison is an arduous thing, if texture too simply there is by counterfeit
Danger, if texture is excessively intensive and complicated has comparable patience or even some specific textures, resolution capability it is necessary to ask for help
It is above the range of human eye.
Anti-false fiber of networking identifies, and principle is：Anti-false fiber of networking identifies system, and query specification, tiny is arranged in carrier
Word mark, posting, fiber mark, easy-torn line, primary key, inquiry code, start line, terminated line, the primary key：By anti-counterfeiting system generation
Code, plant code, serial number are constituted, and the primary key, inquiry code and fiber identification image are stored into anti-counterfeiting system；The fiber mark
For width be 0.1mm-1.0mm circle or the long fibre and random staple fiber group of flat or circle and flat at web or
Fiber line；The fiber is colored fiber, heat discoloration fiber, ultraviolet photosensitive color-changing fiber, Ultraluminescence chameleon fibre, red
One or more combinations in outer excitation chameleon fibre, magnetic fibre.
Advantage：While inheriting texture anti-fake advantage, using smart machine and software technology, flow is enormously simplified.
Disadvantage：Production technology is not liberated completely, is confined to label and uses specific production technology.
Invention content
The purpose of the present invention is to provide a kind of cloud identification system and cloud discrimination methods, it is intended to solve existing texture anti-fake
Technology picture on-line normalization data volume is larger, resolution capability exceeds the range of human eye, is confined to label and using specific raw
The problem of production. art.
The invention is realized in this way a kind of cloud identification system includes texture automated production input system, cloud data mirror
Other system, smart mobile phone client；
The texture automated production input system is used to produce manufacture texture or the three-dimensional pattern using existing indicant
Reason is as manufacture texture, and the texture that will dispatch from the factory is bound after carrying out feature extraction and compression with the bar code corresponding to commodity, and binding is latter
It rises and uploads in the server of cloud data identification system；
The manufacture textural characteristics that the texture cloud identification system is used to be stored in cloud data identification system server
The textural characteristics obtained with smart mobile phone client scan carry out matching discriminating, and by the commodity bound in identification result and bar code
Information returns to smart mobile phone client；
The smart mobile phone client carries out texture for the bar code in items scanning and to the manufacture texture on commodity
Feature extraction is compressed into after feature string together with bar code and uploads in cloud data identification system, for cloud data identification system into
Row differentiates matching.
A kind of cloud discrimination method the specific steps are：
Step 1: businessman applies for bar code and specifies bound commodity；
Step 2: producing manufacture texture or using the three-D grain of existing indicant as manufacture texture, by the texture that dispatches from the factory
It binds with the bar code corresponding to commodity after carrying out feature extraction and compression, is uploaded together in the clothes of cloud data identification system after binding
Business device；
Step 3: the texture that will dispatch from the factory is fabricated to label with the bar code and is pasted onto on commodity；
Step 4: the bar code on smart mobile phone client scan label, does feature extraction to the texture on label, is compressed into
It is uploaded in cloud data identification system together with bar code after feature string；
Step 5: cloud data identification system goes out the manufacture textural characteristics of typing according to barcode inquiry, matching algorithm pair is enabled
The textural characteristics that smart mobile phone client uploads are differentiated, the related merchandise news bound in identification result and bar code,
Return to cell-phone customer terminal.
Further, the label with bar code and posting paper or plastic foil hollow out or appear the three of indicant
Tie up texture.
Further, the indicant is the natural object with three-D grain feature or manufactured products.
Further, the manufacture texture can also be obtained by way of spilling into colored fibre in the glue-line of adhesive tape
, rectangular posting, the colored fibre that the adhesive tape inside the rectangular posting will be spilt into are provided on adhesive tape
Texture display come out, be provided with bar code below posting.
Further, the method that the manufacture texture can also use chemical reagent to make texture in metal surface obtains.
Further, for the mass production of enterprise, texture automated production input system is used for by coiled label, certainly
Dynamicization is sequentially completed texture and binds, winding and unwinding device of the texture automated production input system by Serve Motor Control,
The servo idler wheel for controlling paper bag form returns to the tenslator of each idler wheel concertedness according to paper bag tension coordinating, and is responsible for
Texture collection and the high speed camera and host computer computer of master control are constituted.
The cloud identification system of the present invention and the advantages of cloud discrimination method be：
(1) experience property of flow and speed, client are not upload of taking pictures, but carry out processing and spy to image in local
Sign extraction, is finally compressed into the feature description data packet upload server of 20k or so, and 3g networks can also be realized on quickly
It passes；
(2) randomness of posting, high efficiency are software original creation, and the algorithm of independent research being capable of efficient detection figure
In rectangular area, and inner vein is analyzed, provides validity conclusion.
(3) texture is random, and texture does not need specific production technology, can use specific label equipment batch making,
Chemical reaction can be used to produce random marks in metal surface, it might even be possible to which each one uses identity, voluntarily draws posting, then
It is placed on inside using unique marker is identified oneself, with transparent glue.Software can assist having for intelligent measurement texture
Effect property.
(4) data are comprehensive, and the application time of bar code can inquire in system, if commodity mark date of manufacture and
Bar code application time difference is too many, it can be assumed that cargo is problematic.
(5) big data analysis gives full play to the advantage of smart machine, and networking verification carries geographical coordinate, and system background carries
For big data analysis, in conjunction with gis GIS-Geographic Information System, data and spatial analysis can effectively excavate fake products circulation and launch city
The channel of field provides effectively guidance to manufacturer and industrial and commercial bureau.
Description of the drawings
Fig. 1 is the flow chart of cloud discrimination method provided in an embodiment of the present invention；
Fig. 2 is the structural schematic diagram of adhesive tape label provided in an embodiment of the present invention；
In figure：1, adhesive tape；2, colored fibre；3, posting；4, bar code.
Specific implementation mode
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
Below in conjunction with the accompanying drawings and specific embodiment is further described the application principle of the present invention.
The invention is realized in this way a kind of cloud identification system includes texture automated production input system, cloud data mirror
Other system, smart mobile phone client；
The texture automated production input system is used to produce manufacture texture or the three-dimensional pattern using existing indicant
Reason is as manufacture texture, and the texture that will dispatch from the factory is bound after carrying out feature extraction and compression with the bar code corresponding to commodity, and binding is latter
It rises and uploads in the server of cloud data identification system；
The manufacture textural characteristics that the texture cloud identification system is used to be stored in cloud data identification system server
The textural characteristics obtained with smart mobile phone client scan carry out matching discriminating, and by the commodity bound in identification result and bar code
Information returns to smart mobile phone client；
The smart mobile phone client carries out texture for the bar code in items scanning and to the manufacture texture on commodity
Feature extraction is compressed into after feature string together with bar code and uploads in cloud data identification system, for cloud data identification system into
Row differentiates matching.
As shown in Figure 1, a kind of cloud discrimination method the specific steps are：
S101, businessman apply for bar code and specify bound commodity；
S102, production manufacture texture or using the three-D grain of existing indicant as dispatch from the factory texture, will dispatch from the factory texture into
It binds with the bar code corresponding to commodity after row feature extraction and compression, is uploaded together in the service of cloud data identification system after binding
Device；
S103, the texture that will dispatch from the factory are fabricated to label with the bar code and are pasted onto on commodity；
Bar code on S104, smart mobile phone client scan label, does feature extraction to the texture on label, is compressed into spy
It is uploaded together with bar code in cloud data identification system after sign character string；
S105, cloud data identification system go out the manufacture textural characteristics of typing according to barcode inquiry, enable matching algorithm to intelligence
The textural characteristics that energy cell-phone customer terminal uploads are differentiated, the related merchandise news bound in identification result and bar code, are returned
Back to cell-phone customer terminal.
Further, the label with bar code and posting paper or plastic foil hollow out or appear the three of indicant
Tie up texture.
Further, the indicant is the natural object with three-D grain feature or manufactured products.
Further, the manufacture texture can also be obtained by way of spilling into colored fibre in the glue-line of adhesive tape
, as shown in Fig. 2, being provided with rectangular posting 3 on adhesive tape 1, the adhesive tape inside the rectangular posting 3 will dissipate
The texture display of the colored fibre 2 entered comes out, and 3 lower section of posting is provided with bar code 4.
Further, the method that the manufacture texture can also use chemical reagent to make texture in metal surface obtains.
Further, for the mass production of enterprise, texture automated production input system is used for by coiled label, certainly
Dynamicization is sequentially completed texture and binds, winding and unwinding device of the texture automated production input system by Serve Motor Control,
The servo idler wheel for controlling paper bag form returns to the tenslator of each idler wheel concertedness according to paper bag tension coordinating, and is responsible for
Texture collection and the high speed camera and host computer computer of master control are constituted.
Further, the cloud identification system uses threshold process, filter operation, vectored calculations, and to coordinate sequence
Row carry out principal component analysis and complex calculation, and rectangular area is found from defining in frame.
The software section of entire cloud identification system can be divided into：
1, position portion is detected
Detection method obtains bianry image, bianry image vector approximately as global filtering processing, local threshold processing
Change, search potential closed polygon, area, the trial inspections such as perimeter, if by checking are carried out to polygon point sequence
Four sections are split into according to four farthest points, and to each section of progress principal component analysis, the linearity is checked, when the second of four sections of sequences
The characteristic value of feature vector is all sufficiently small, illustrates that the polygon is made of four sections of arrangement point sequences straight enough, then detects square
Shape posting.Compared to traditional Hough transform, the methods of template matches, entire calculating process memory consumption is small, ultrahigh in efficiency,
10 milliseconds are also only needed on mobile phone.
2, characteristic extraction part
To use method for describing local characteristic, a series of improvement are made on the basis of classical way, in conjunction with angle point grid,
Numerous methods such as scale space point, from different scale, different frequency, different color channel has carried out a series of features to image and has adopted
Collection and description, are finally compressed into the characteristic character of 20k or so, and by encrypting upload server, opposite classical way extracts feature
Stability higher, data volume smaller.
3, characteristic matching part
Using entirely autonomous research and development, the SEQUENTIAL ALGORITHM of binding characteristic description and spatial relationship, system maintenance one is retouched
Its affine or photography relationship state matrix and its covariance is stated, and initial covariance is made to tend to be infinite any initial to receive
Point sorts according to match point matching degree, is included in prediction-update the system successively later so that system is same adjustment state matrix
When, covariance matrix is gradually restrained, and then has increasingly stronger discriminating power, can be very good to repel wrong match point.Algorithm
It is an adaptive intelligent learning system, as a result of SEQUENTIAL ALGORITHM, compared to ransac etc. based on the matching with machine frame
Algorithm, efficiency far are won, and due to not being global exploration, thus stronger to the resistance ability of mistake.
Embodiment one
When sending out quick despatch, using one barcode number of cell-phone customer terminal application, manufacture texture and bar code are made one
A label, is scanned with mobile phone, on binding manufacture texture to number, and manufacture texture is sent to Cloud Server, number with short
Letter or push are sent to consignee, and consignee obtains manufacture texture by number from Cloud Server, when consignee is connected to goods, use hand
Machine scans indicant, can differentiate whether sent from delivery human hand by comparing texture.
The manufacture texture can be obtained by spiced salt method, specially：
(1) preparing the clast that black and white depth does not wait, equal mode does not make it be randomly dispersed on paper with black and white；
(2) posting is drawn with carbon pen, transparent adhesive tape is used in combination to be pasted onto surface；
(3) use the figure in posting as manufacture texture
Embodiment two
Then the method for chemically making texture in metal surface utilizes cloud identification system to realize anti-fake；By sulfuric acid
Copper reagent is sprayed at iron surface, due to concentration difference, form mottled trace, the trace mottled using these as dispatch from the factory
Texture, the mark differentiated as cloud.
Embodiment three
The embedded fiber in the paper of invoice, using the texture of embedded fiber as manufacture texture, flowing water receipt printing machine handle
The source of bill can be identified on bar code printing using cloud discriminating.
The cloud identification system of the present invention and the advantages of cloud discrimination method be：
(1) experience property of flow and speed, client are not upload of taking pictures, but carry out processing and spy to image in local
Sign extraction, is finally compressed into the feature description data packet upload server of 20k or so, and 3g networks can also be realized on quickly
It passes；
(2) randomness of posting, high efficiency are software original creation, and the algorithm of independent research being capable of efficient detection figure
In rectangular area, and inner vein is analyzed, provides validity conclusion.
(3) texture is random, and texture does not need specific production technology, can use specific label equipment batch making,
Chemical reaction can be used to produce random marks in metal surface, it might even be possible to which each one uses identity, voluntarily draws posting, then
It is placed on inside using unique marker is identified oneself, with transparent glue.Software can assist having for intelligent measurement texture
Effect property.
(4) data are comprehensive, and the application time of bar code can inquire in system, if commodity mark date of manufacture and
Bar code application time difference is too many, it can be assumed that cargo is problematic.
(5) big data analysis gives full play to the advantage of smart machine, and networking verification carries geographical coordinate, and system background carries
Data statistics and analysis space-based can be completed, scanning input is worked as in conjunction with gis GIS-Geographic Information System for big data analysis
Label is differentiated that scanning record upload server also wants to platform and provide an information, certain part quotient while completing to differentiate
Product reach somewhere by logistics, when these authentication datas are enough, on the one hand detection can be assisted to fake by data mining,
In addition these data can obtain some to the advantageous information of businessman, manufacturer can be allowed to understand oneself by summarizing and analyzing
Kinds of goods be sold to where, it is fast-selling in which place, and then adjust the production schedule of next step.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
All any modification, equivalent and improvement etc., should all be included in the protection scope of the present invention made by within refreshing and principle.
Claims (1)
1. a kind of cloud identification system, which is characterized in that the cloud identification system includes texture automated production input system, cloud
Data identification system, smart mobile phone client；
The texture automated production input system is used to produce manufacture texture or is made using the three-D grain of existing indicant
For dispatch from the factory texture, will dispatch from the factory texture carry out feature extraction and compression after with corresponding to commodity bar code binding, after binding together on
It passes in the server of cloud data identification system；
The manufacture textural characteristics and intelligence that the texture cloud identification system is used to be stored in cloud data identification system server
Can the textural characteristics that scan of cell-phone customer terminal carry out matching discriminating, and by the merchandise news bound in identification result and bar code
Return to smart mobile phone client；
The smart mobile phone client carries out textural characteristics for the bar code in items scanning and to the manufacture texture on commodity
Extraction, is compressed into after feature string together with bar code and uploads in cloud data identification system, reflect for cloud data identification system
It does not match；
The cloud discrimination method of the cloud identification system the specific steps are：
Step 1: businessman applies for bar code and specifies bound commodity；
Step 2: producing manufacture texture or using the three-D grain of existing indicant as manufacture texture, manufacture texture is carried out
It binds with the bar code corresponding to commodity after feature extraction and compression, is uploaded together in the service of cloud data identification system after binding
Device；
Step 3: the texture that will dispatch from the factory is fabricated to label with the bar code and is pasted onto on commodity；
Step 4: the bar code on smart mobile phone client scan label, does feature extraction to the texture on label, is compressed into feature
It is uploaded in cloud data identification system together with bar code after character string；
Step 5: cloud data identification system goes out the manufacture textural characteristics of typing according to barcode inquiry, matching algorithm is enabled to intelligence
The textural characteristics that cell-phone customer terminal uploads are differentiated, the related merchandise news bound in identification result and bar code, are returned
To cell-phone customer terminal；
Paper or plastic foil hollow out or the three-D grain that appears indicant of the label with bar code and posting；
The indicant is natural object or manufactured products with three-D grain feature；
The manufacture texture can also be obtained by way of spilling into colored fibre in the glue-line of adhesive tape, on adhesive tape
It is provided with rectangular posting, the adhesive tape inside the rectangular posting goes out the texture display of the colored fibre spilt into
Come, bar code is provided with below posting；
The method that the manufacture texture can also use chemical reagent to make texture in metal surface obtains；
Mass production for enterprise, texture automated production input system are used for coiled label, and automation is complete successively
It is bound at texture, winding and unwinding device of the texture automated production input system by Serve Motor Control, controls paper bag shape
The servo idler wheel of state, according to paper bag tension coordinating return each idler wheel concertedness tenslator and responsible texture collection and
The high speed camera and host computer computer of master control are constituted.
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| CN201510230728.8A CN104794519B (en) | 2015-05-07 | 2015-05-07 | A kind of cloud identification system and cloud discrimination method |
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| CN104794519B true CN104794519B (en) | 2018-08-31 |
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Families Citing this family (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105741122A (en) * | 2016-02-24 | 2016-07-06 | 张忠祥 | Anti-counterfeiting polymer film and anti-counterfeiting method |
| CN105654841A (en) * | 2016-03-09 | 2016-06-08 | 张忠祥 | Anti-counterfeit label with film fiber code and anti-counterfeit method |
| CN106204057A (en) * | 2016-06-27 | 2016-12-07 | 惠众商务顾问（北京）有限公司 | Physical message accidental validation block chain method for anti-counterfeit, system and device |
| CN108573297A (en) * | 2017-03-14 | 2018-09-25 | 北京德豹科技有限公司 | A kind of cloud data method for anti-counterfeit based on calibration feature |
| CN107247986B (en) * | 2017-06-23 | 2020-06-16 | 邓学胜 | Graph code anti-counterfeiting label, graph code anti-counterfeiting system and graph code anti-counterfeiting method |
| CN107633410B (en) * | 2017-07-16 | 2021-02-19 | 广州矽云信息科技有限公司 | Error correction system and method for double-code anti-counterfeiting |
| CN107292636A (en) | 2017-08-17 | 2017-10-24 | 上海焕云网络技术有限公司 | A kind of commodity counterfeit prevention checking system based on natural biological information |
| CN107798544A (en) * | 2017-09-28 | 2018-03-13 | 邓学胜 | Anti-fake card, Antiforge system, the manufacture method of anti-fake processing method and anti-fake card |
| CN108960861B (en) * | 2018-07-02 | 2022-05-17 | 任伟峰 | Product fidelity verification method and device, storage medium and processor |
| CN109256031A (en) * | 2018-11-28 | 2019-01-22 | 程昔恩 | A kind of tamper method of the packing container of marketed material |
| CN109981244B (en) * | 2019-03-08 | 2021-10-01 | 西安电子科技大学 | Method for realizing distributed cloud encryption algorithm |
| CN115171108B (en) * | 2022-06-08 | 2022-11-18 | 青岛通产智能科技股份有限公司 | Method, device and medium for authenticating production date of article |
| CN118051099A (en) * | 2023-09-18 | 2024-05-17 | 支付宝(杭州)信息技术有限公司 | Texture detection processing method and device |
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| CN103065109A (en) * | 2012-12-12 | 2013-04-24 | 上海新世界旅游纪念品有限公司 | Anti-fake method and system based on calligraphy and painting micro-texture |
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| US6928552B1 (en) * | 1999-12-08 | 2005-08-09 | Valentin Alexandrovich Mischenko | Method and system for authentication of articles |
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Effective date of registration: 20190520 Address after: 610000 Chengdu High-tech Zone, Sichuan Province, No. 4, No. 3 Keyuan Road, No. 1 Building, No. 1 Floor Patentee after: Chengdu Coordinate Creative Technology Co., Ltd. Address before: 610000 No. 29 Jinfeng Third Road, Jinjiang District, Chengdu City, Sichuan Province Patentee before: Yan Xiaolong |
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