CN103793732A - Method and device for identifying anti-counterfeiting mark composed of electronic monitoring code and raster graphic - Google Patents
Method and device for identifying anti-counterfeiting mark composed of electronic monitoring code and raster graphic Download PDFInfo
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- CN103793732A CN103793732A CN201410053901.7A CN201410053901A CN103793732A CN 103793732 A CN103793732 A CN 103793732A CN 201410053901 A CN201410053901 A CN 201410053901A CN 103793732 A CN103793732 A CN 103793732A
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Abstract
The invention provides a method capable of identifying an electronic monitoring code and a raster graphic at the same time. The method includes the following steps that the electronic monitoring code is scanned, an electronic monitoring code image is analyzed, a raster graphic ID after the analysis is extracted; the raster graphic is scanned, a raster graphic image is analyzed, and a raster graphic ID after the analysis is extracted; the two raster graphic IDs are compared, and whether the two raster IDs are matched or not can be judged; according to a matched result, content information corresponding to the two raster graphic IDs at the same time is called in a database; the content information is broadcasted. A device adopting the method comprises an electronic monitoring code scanning part, a raster graphic scanning part, a comparison module, a calling module and a feedback module. According to the method and device for identifying the anti-counterfeiting mark composed of the electronic monitoring code and the raster graphic, the anti-counterfeiting mark implanted into the surface of an article and composed of the electronic monitoring code and the raster graphic can be scanned at the same time, after the two raster graphic IDs are compared, relevant content is fed back, and the defect that the anti-counterfeiting mark cannot be identified at present is overcome.
Description
Technical field
The present invention relates to a kind of recognition methods, especially a kind of method and device of the anti-counterfeiting mark of identifying electronic supervision code and dot pattern formation.
Background technology
At present, electronic supervision code is upgraded to 20 from 16, and enterprise accurately registers after the commodity code of its product, and electronic supervision code can be set up the corresponding relation with commodity code, completes the clearing valuation functions in retail domain.Supervision code bar code adopts CODE128C code system, and code length is 20, and bar code density is greater than 7mil, and width is greater than 4cm, is highly greater than 5mm.According to the managerial demand of manufacturing enterprise, bar-code label except supervision code, can comprise product coding, name of product, date of manufacture, lot number, valid until etc. information.But, because electronic supervision code can be replicated easily or duplicate, in the time that the electronic supervision code after copying or duplicating is distinguished, still can learn the true and false of these article, therefore, electronic supervision code canned data is also dangerous.In addition, because the coding rule of electronic supervision code is comparatively simple, therefore, be also very easily cracked.Cracked by other people once be printed on the coding rule of the electronic supervision code on product, just cannot realize its effective effect, be difficult to fake and inferior commodities to carry out strong strike.
In order to solve the poor problem of above-mentioned electronic supervision code antifalse effect, a kind of new approaches are there are, by electronic supervision code and a kind of antifalse mark of the combined formation of dot pattern.But, also it is not known to method for distinguishing at present for this kind of anti-counterfeiting mark.
Therefore,, in order to address the above problem, be badly in need of aly can knowing method for distinguishing to the anti-counterfeiting mark being formed by electronic supervision code and dot pattern.
Summary of the invention
For the weak point existing in the problems referred to above, the invention provides method and the device of the anti-counterfeiting mark that a kind of identification electronic supervision code that can identify the anti-counterfeiting mark being made up of electronic supervision code and dot pattern and dot pattern form.
For achieving the above object, the invention provides a kind of method of the anti-counterfeiting mark of identifying electronic supervision code and dot pattern formation, comprise the following steps:
Scanning forms the dot pattern in anti-counterfeiting mark, the dot pattern image obtaining is resolved, and distinguish the true and false of dot pattern;
Scanning forms the electronic supervision code in anti-counterfeiting mark, and the electronic supervision code image obtaining is resolved, thereby extracts the dot pattern ID corresponding with electronic supervision code after resolving;
Dot pattern ID corresponding with electronic supervision code after resolving is contrasted with resolving dot pattern ID rear and that dot pattern is corresponding, to judge whether the two matches;
According to above-mentioned matching result, in database, call while and two content informations that dot pattern ID is corresponding;
Content information is reported.
Above-mentioned method, wherein, the concrete steps of said method are:
S1, starter gear, make recognition device energising and in holding state;
S2, judge whether electronic supervision code scanning module and dot pattern scanning module normally start, if judged result be normal, perform step S3, if judged result is undesired, perform step S4, feed back abnormal information;
S3, scanning are implanted in the electronic supervision code on article surface, and the electronic supervision code image obtaining is resolved, thereby the dot pattern ID corresponding with electronic supervision code after resolving is placed in buffer memory;
S5, scanning are implanted in the dot pattern on article surface, and the dot pattern image obtaining is resolved, thereby the dot pattern ID after resolving is placed in buffer memory;
S6, to resolve after the dot pattern ID corresponding with electronic supervision code with resolve after dot pattern ID contrast, whether corresponding to judge the two, if the determination result is YES, perform step S7, if judged result is no, perform step S4, feedback abnormal information;
S7, in database, search simultaneously and two content informations that dot pattern ID is corresponding, if lookup result be yes, perform step S8, if lookup result is no, perform step S4, feed back abnormal information;
S8, be invoked in database simultaneously and two content informations that dot pattern ID is corresponding;
S9, content information is reported.
Above-mentioned method, wherein, in step S3, getting after the electronic supervision code image that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprises the following steps:
Filter out unnecessary spectrum in the electronic supervision code image getting;
Catch remaining spectrum in electronic supervision code image;
Regulate time shutter and figure frame per second, the grey level of the complete image capturing is reached between 110～200.
Above-mentioned method, wherein, in step S5, getting after the dot pattern image that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprises the following steps:
Filter out unnecessary spectrum in the dot pattern image getting;
Catch remaining spectrum in dot pattern image;
Regulate time shutter and figure frame per second, the grey level of the complete image capturing is reached between 110～200.
Above-mentioned method, wherein, said method also comprises that following concrete steps are:
S10, starter gear, make recognition device energising and in holding state;
S20, judge whether electronic supervision code scanning module and dot pattern scanning module normally start, if judged result be normal, perform step S30, if judged result is undesired, perform step S40, feed back abnormal information;
S30, scanning form the dot pattern in anti-counterfeiting mark, the dot pattern image obtaining is resolved to obtain dot pattern ID, and be placed in buffer memory;
S50, distinguish the true and false of dot pattern in dot pattern image, if distinguish, result is true, performs step S60, if distinguish, result is false, performs step S40, feedback abnormal information;
S60, scanning are implanted in the electronic supervision code on article surface, and the electronic supervision code image obtaining is resolved, thereby the dot pattern ID corresponding with electronic supervision code after resolving is placed in buffer memory;
S70, to resolve after the dot pattern ID corresponding with electronic supervision code with resolve after dot pattern ID contrast, whether corresponding to judge the two, if the determination result is YES, perform step S80, if judged result is no, perform step S40, feedback abnormal information;
S80, in database, search simultaneously and two content informations that dot pattern ID is corresponding, if lookup result be yes, perform step S90, if lookup result is no, perform step S40, feed back abnormal information;
S90, be invoked in database simultaneously and two content informations that dot pattern ID is corresponding;
S100, content information is reported.
The present invention also provide a kind of identify anti-counterfeiting mark that electronic supervision code and dot pattern form device, comprise housing, trigger, be located at the mainboard with central processing element in housing, also comprise:
Dot pattern sweep test, is connected with described mainboard with described trigger, for dot pattern being scanned and the dot pattern image getting being resolved, thereby extracts the dot pattern ID after resolving;
Electronic supervision code sweep test, is connected with described mainboard with described trigger, for electronic supervision code being scanned and the electronic supervision code image getting being resolved, thereby extracts the dot pattern ID corresponding with electronic supervision code after resolving;
Contrast module, contrasts for the dot pattern ID that the dot pattern ID to corresponding with electronic supervision code after resolving is rear with parsing and dot pattern is corresponding;
Calling module, for calling while and two content informations that dot pattern ID is corresponding at database;
Feedback module, for reporting content information.
Above-mentioned device, wherein, described dot pattern sweep test comprises:
Dot pattern scan components, for the dot pattern that is implanted in article surface is scanned, to generate the dot pattern image that meets default grey level;
Dot pattern image analysis module, for dot pattern image is resolved, to convert several dot pattern ID corresponding thereto to;
Dot pattern ID extraction module, for placing buffer memory by the dot pattern ID after resolving.
Above-mentioned device, wherein, in described dot pattern scan components, comprising:
Dot pattern scanning module, for sending the light that can identify dot pattern, to obtain dot pattern image;
Dot pattern sensor devices, for the dot pattern image obtaining is processed, comprising:
Optical filter, for filtering out the unnecessary spectrum of dot pattern image getting;
Optical lens, for catching the remaining spectrum of dot pattern image;
Grey level unit, for regulating time shutter and figure frame per second, reaches between 110～200 the grey level of the complete image capturing.
Above-mentioned device, wherein, described electronic supervision code sweep test comprises:
Electronic supervision code scan components, for the electronic supervision code that is implanted in article surface is scanned, to generate the electronic supervision code image that meets default grey level;
Electronic supervision code image analysis module, for electronic supervision code image is resolved, to convert the dot pattern ID corresponding with electronic supervision code to;
Dot pattern ID extraction module, for placing buffer memory by dot pattern ID corresponding with electronic supervision code after resolving.
Above-mentioned device, wherein, in described electronic supervision code scan components, comprising:
Electronic supervision code scanning module, for sending the light that can identify electronic supervision code, to obtain electronic supervision code image;
Electronic supervision code sensor devices, for the electronic supervision code image obtaining is processed, comprising:
Optical filter, for filtering out the unnecessary spectrum of electronic supervision code image getting;
Optical lens, for catching the remaining spectrum of electronic supervision code image;
Grey level unit, for regulating time shutter and figure frame per second, reaches between 110～200 the grey level of the complete image capturing.
Above-mentioned device, wherein, also comprises database, for storing while and two content informations that dot pattern ID is corresponding.
Above-mentioned device, wherein, also comprises dot pattern discrimination module, for the true and false of dot pattern image dot pattern is distinguished.
Compared with prior art, the present invention has the following advantages:
The present invention is by electronic supervision code sweep test and dot pattern sweep test, can scan the antifalse being formed by electronic supervision code and the dot pattern mark that is implanted in article surface simultaneously, the relevant false proof information content of tracing to the source of feedback after the two contrasts, make current discriminator learn the true and false of implanting the article that have this anti-counterfeiting mark, made up the poor shortcoming of existing electronic supervision code antifalse effect.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of method part embodiment in the present invention;
Fig. 2 is the process flow diagram of another embodiment of method part in the present invention;
The structural representation of device part in Fig. 3 invention;
Fig. 4 is the structured flowchart that installs part embodiment in the present invention;
Fig. 5 is the structured flowchart of another embodiment of device part in the present invention.
Main description of reference numerals is as follows:
1-housing 2-trigger 3-electronic supervision code sweep test
4-dot pattern sweep test 5-contrasts module
6-database 7-calling module 8-feedback module
9-dot pattern discrimination module
Embodiment
The invention provides one can know method for distinguishing to electronic supervision code and dot pattern simultaneously, comprises the following steps:
Scanning forms the dot pattern in anti-counterfeiting mark, the dot pattern image obtaining is resolved, and distinguish the true and false of dot pattern;
Scanning forms the electronic supervision code in anti-counterfeiting mark, and the electronic supervision code image obtaining is resolved, thereby extracts the dot pattern ID corresponding with electronic supervision code after resolving;
Dot pattern ID corresponding with electronic supervision code after resolving is contrasted with resolving dot pattern ID rear and that dot pattern is corresponding, to judge whether the two matches;
According to above-mentioned matching result, in database, call while and two content informations that dot pattern ID is corresponding;
Content information is reported.
As shown in Figure 1, the method concrete steps of this embodiment are:
S1, starter gear, make recognition device energising and in holding state.
Wherein, hardware device switches on power or by & off switch, hardware circuit powers on, and equipment normally starts.
S2, judge whether electronic supervision code scanning module and dot pattern scanning module normally start, if judged result be normal, perform step S3, if judged result is undesired, perform step S4, feed back abnormal information.
Wherein, after hardware circuit electrifying startup, the dot pattern scanning module that the electronic supervision code scanning module that scanning electron supervision code is used and scanning lattice figure are used respectively hardware powers on and lights.After electronic supervision code scanning module and dot pattern scanning module are lit, install inner embedded software system functional module and judge the whether effectively start of two kinds of scanning module, and possess recognition function, if effectively start is carried out next step, otherwise feed back corresponding abnormal information.
S3, scanning are implanted in the dot pattern on article surface, and the dot pattern image obtaining is resolved, thereby the dot pattern ID after resolving is placed in buffer memory.
In step S3, getting after the dot pattern image that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprise the following steps:
Filter out unnecessary spectrum in the dot pattern image getting by optical filter;
Catch remaining spectrum in dot pattern image by optical lens;
By regulating time shutter and figure frame per second, the grey level of the complete image capturing is reached between 110～200.
If dot pattern scanning module get several are all the pictures with dot pattern image, picture is after automatic processing so, select to approach most in several pictures a picture with dot pattern image of the grey scale values upper limit, to carry out follow-up processing.
If what dot pattern scanning module got is the video image with dot pattern image, be several picture frames by this Video Image Segmentation so, by each picture frame after automatic processing, select to approach most in several picture frames a picture frame of the grey scale values upper limit, to carry out follow-up processing.
Obtaining meeting after the dot pattern image of grey level, dot pattern image is resolved, thereby obtain the dot pattern ID corresponding with dot pattern, and the dot pattern ID after resolving is placed in buffer memory.
S5, scanning are implanted in the electronic supervision code on article surface, and the electronic supervision code image obtaining is resolved, thereby the dot pattern ID corresponding with electronic supervision code extracting after resolving is placed in buffer memory.
In step S5, getting after the electronic supervision code image that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprise the following steps:
Filter out unnecessary spectrum in the electronic supervision code image getting by optical filter;
Catch remaining spectrum in electronic supervision code image by optical lens;
By regulating time shutter and figure frame per second, the grey level of the complete image capturing is reached between 110～200.
If electronic supervision code scanning module get several are all the pictures with electronic supervision code image, picture is after automatic processing so, select to approach most in several pictures a picture with electronic supervision code image of the grey scale values upper limit, to carry out follow-up processing.
If what electronic supervision code scanning module got is the video image with electronic supervision code image, be several picture frames by this Video Image Segmentation so, by each picture frame after automatic processing, select to approach most in several picture frames a picture frame of the grey scale values upper limit, to carry out follow-up processing.
Obtaining meeting after the electronic supervision code image of grey level, adopting standard algorithm to convert the electronic supervision code in effective electron supervision code figure to character string information corresponding thereto.Wherein, standard algorithm is EAN code, 39 yards, intersects 25 yards, UPC code, 128 yards, 93 yards, ISBN code or Codabar(Ku Deba code) in one.
After character string after being resolved, send it to image primitive coded system, by image primitive coded system, the character string of generation is defined as to corresponding dot pattern ID, and dot pattern ID is extracted in buffer memory.
S6, by by resolve after obtain the dot pattern ID corresponding with electronic supervision code, with dot pattern by resolve after dot pattern ID contrast, whether corresponding to judge the two, if the determination result is YES, perform step S7, if judged result is no, perform step S4, feedback abnormal information.
S7, in database, search simultaneously corresponding with character string dot pattern ID and the content information corresponding with the corresponding dot pattern ID of dot pattern, if lookup result is yes, perform step S80, if lookup result is no, perform step S4, feedback abnormal information.
S8, in database, call simultaneously corresponding with character string dot pattern ID and the content information corresponding with the corresponding dot pattern ID of dot pattern.
S9, content information is reported, made current discriminator learn the true and false of implanting the article that have this anti-counterfeiting mark.
Wherein, if this content information is audio file, by loudspeaker, this audio file is play.
If this content information is video file, by display screen, this video file is play.
If this content information is text, by display screen, text file is play.
As shown in Figure 2, the method concrete steps of this embodiment are as follows:
S10, starter gear, make recognition device energising and in holding state.
Wherein, hardware device switches on power or by & off switch, hardware circuit powers on, and equipment normally starts.
S20, judge whether electronic supervision code scanning module and dot pattern scanning module normally start, if judged result be normal, perform step S30, if judged result is undesired, perform step S40, feed back abnormal information.
Wherein, after hardware circuit electrifying startup, the dot pattern scanning module that the electronic supervision code scanning module that scanning electron supervision code is used and scanning lattice figure are used respectively hardware powers on and lights.After electronic supervision code scanning module and dot pattern scanning module are lit, install inner embedded software system functional module and judge the whether effectively start of two kinds of scanning module, and possess recognition function, if effectively start is carried out next step, otherwise feed back corresponding abnormal information.
S30, scanning are implanted in the dot pattern on article surface, and the dot pattern image obtaining is resolved, thereby the dot pattern ID after resolving is placed in buffer memory.
In step S30, getting after the dot pattern image that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprise the following steps:
Filter out unnecessary spectrum in the dot pattern image getting by optical filter;
Catch remaining spectrum in dot pattern image by optical lens;
By regulating time shutter and figure frame per second, the grey level of the complete image capturing is reached between 110～200.
If dot pattern scanning module get several are all the pictures with dot pattern image, picture is after automatic processing so, select to approach most in several pictures a picture with dot pattern image of the grey scale values upper limit, to carry out follow-up processing.
If what dot pattern scanning module got is the video image with dot pattern image, be several picture frames by this Video Image Segmentation so, by each picture frame after automatic processing, select to approach most in several picture frames a picture frame of the grey scale values upper limit, to carry out follow-up processing.
Obtaining meeting after the dot pattern image of grey level, dot pattern image is resolved, thereby obtain the dot pattern ID corresponding with dot pattern, and the dot pattern ID after resolving is placed in buffer memory.
S50, distinguish the true and false of dot pattern in dot pattern image, if distinguish, result is true, performs step S60, if distinguish, result is false, performs step S40, feedback abnormal information.
Be specially, in dot pattern ID database to the dot pattern ID that obtains after resolving is searched, if lookup result is yes, perform step S60, start electronic supervision code scanning module with electron gain supervision code image, if distinguish, result is false, does not start electronic supervision code scanning module, and execution step S40, feedback abnormal information.
S60, scanning are implanted in the electronic supervision code on article surface, and the electronic supervision code image obtaining is resolved, thereby the dot pattern ID corresponding with electronic supervision code extracting after resolving is placed in buffer memory.
In step S60, getting after the electronic supervision code image that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprise the following steps:
Filter out unnecessary spectrum in the electronic supervision code image getting by optical filter;
Catch remaining spectrum in electronic supervision code image by optical lens;
By regulating time shutter and figure frame per second, the grey level of the complete image capturing is reached between 110～200.
If electronic supervision code scanning module get several are all the pictures with electronic supervision code image, picture is after automatic processing so, select to approach most in several pictures a picture with electronic supervision code image of the grey scale values upper limit, to carry out follow-up processing.
If what electronic supervision code scanning module got is the video image with electronic supervision code image, be several picture frames by this Video Image Segmentation so, by each picture frame after automatic processing, select to approach most in several picture frames a picture frame of the grey scale values upper limit, to carry out follow-up processing.
Obtaining meeting after the electronic supervision code image of grey level, adopting standard algorithm to convert the electronic supervision code in effective electron supervision code figure to character string information corresponding thereto.Wherein, standard algorithm is EAN code, 39 yards, intersects 25 yards, UPC code, 128 yards, 93 yards, ISBN code or Codabar(Ku Deba code) in one.
After character string after being resolved, send it to image primitive coded system, by image primitive coded system, the character string of generation is defined as to corresponding dot pattern ID, and dot pattern ID is extracted in buffer memory.
S70, by by resolve after obtain the dot pattern ID corresponding with electronic supervision code, with dot pattern by resolve after dot pattern ID contrast, whether corresponding to judge the two, if the determination result is YES, perform step S80, if judged result is no, perform step S40, feedback abnormal information.
S80, in database, search simultaneously corresponding with character string dot pattern ID and the content information corresponding with the corresponding dot pattern ID of dot pattern, if lookup result is yes, perform step S80, if lookup result is no, perform step S40, feedback abnormal information.
S90, in database, call simultaneously corresponding with character string dot pattern ID and the content information corresponding with the corresponding dot pattern ID of dot pattern.
S100, content information is reported, made current discriminator learn the true and false of implanting the article that have this anti-counterfeiting mark.
Wherein, if this content information is audio file, by loudspeaker, this audio file is play.
If this content information is video file, by display screen, this video file is play.
If this content information is text, by display screen, text file is play.
As shown in Figure 3 and Figure 4, the invention provides a kind of device of can be simultaneously electronic supervision code and dot pattern being identified, this device is implemented for the method that Fig. 1 is recorded.This device comprises housing 1, trigger 2, is located at the mainboard with central processing element (not describing in figure), electronic supervision code sweep test 3, dot pattern sweep test 4, contrast module 5, database 6, calling module 7 and feedback module 8 in housing.
Wherein, electronic supervision code sweep test 3 is connected with mainboard with trigger, for electronic supervision code being scanned and the electronic supervision code image getting being resolved, thereby extracts the dot pattern ID corresponding with electronic supervision code after resolving.
Electronic supervision code sweep test comprises:
Electronic supervision code scan components, for the electronic supervision code that is implanted in article surface is scanned, to generate the electronic supervision code image that meets default grey level.
Wherein, getting after the electronic supervision code image that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprise the following steps:
Filter out unnecessary spectrum in the electronic supervision code image getting by optical filter;
Catch remaining spectrum in electronic supervision code image by optical lens;
Regulate time shutter and figure frame per second by grey level unit, the grey level of the complete image capturing is reached between 110～200.
If electronic supervision code scanning module get several are all the pictures with electronic supervision code image, picture is after automatic processing so, select to approach most in several pictures a picture with electronic supervision code image of the grey scale values upper limit, to carry out follow-up processing.
If what electronic supervision code scanning module got is the video image with electronic supervision code image, be several picture frames by this Video Image Segmentation so, by each picture frame after automatic processing, select to approach most in several picture frames a picture frame of the grey scale values upper limit, to carry out follow-up processing.
Electronic supervision code image analysis module, for electronic supervision code image is resolved, to convert the dot pattern ID corresponding with electronic supervision code to.
Wherein, obtaining meeting after the electronic supervision code image of grey level, adopting standard algorithm to convert the electronic supervision code in effective electron supervision code figure to character string information corresponding thereto.Wherein, standard algorithm is the one in Data Matrix, MaxiCode, Aztec, QR Code, Vericode, PDF417, Ultracode, Code49 or Code16K.
After character string after being resolved, send it to image primitive coded system, by image primitive coded system, the character string of generation is defined as to corresponding dot pattern ID.
Dot pattern ID extraction module, for placing buffer memory by the dot pattern ID corresponding with electronic supervision code obtaining after resolving.
Dot pattern sweep test 4 is connected with mainboard with trigger, for dot pattern being scanned and the dot pattern image getting being resolved, thereby extracts the dot pattern ID after resolving.
Wherein, dot pattern sweep test comprises:
Dot pattern scan components, for the dot pattern that is implanted in article surface is scanned, to generate the dot pattern image that meets default grey level.
In dot pattern scan components, comprising:
Dot pattern scanning module, for sending the light that can identify dot pattern, to obtain dot pattern image;
Dot pattern sensor devices, getting after the dot pattern image that is implanted in article surface, need to be processed it, so that the grey level of image reaches preset range, comprises the following steps:
Filter out unnecessary spectrum in the dot pattern image getting by optical filter;
Catch remaining spectrum in dot pattern image by optical lens;
Regulate time shutter and figure frame per second by grey level unit, the grey level of the complete image capturing is reached between 110～200.
If dot pattern scanning module get several are all the pictures with dot pattern image, picture is after automatic processing so, select to approach most in several pictures a picture with dot pattern image of the grey scale values upper limit, to carry out follow-up processing.
If what dot pattern scanning module got is the video image with dot pattern image, be several picture frames by this Video Image Segmentation so, by each picture frame after automatic processing, select to approach most in several picture frames a picture frame of the grey scale values upper limit, to carry out follow-up processing.
Obtaining meeting after the dot pattern image of grey level, dot pattern image is resolved, thereby obtain the dot pattern ID corresponding with dot pattern, and the dot pattern ID after resolving is placed in buffer memory.
Wherein, electronic supervision code scanning module and dot pattern scanning module are in the same plane.
Dot pattern image analysis module, for dot pattern image is resolved, to convert several dot pattern ID corresponding thereto to;
Dot pattern ID extraction module, for placing buffer memory by the dot pattern ID after resolving.
By by resolve after obtain the dot pattern ID corresponding with electronic supervision code, with dot pattern by resolve after dot pattern ID contrast, whether corresponding to judge the two, if the determination result is YES, in database, search content corresponding thereto, if judged result is no, feed back abnormal information.
Wherein, in database, search simultaneously corresponding with character string dot pattern ID and the content information corresponding with the corresponding dot pattern ID of dot pattern, if lookup result is yes, by calling module, this content information is called, if lookup result is no, feed back abnormal information.
In addition, database is also provided with for the interface content information of its storage inside being upgraded and relevant setting is upgraded to database.
Calling module 7 is for calling while and two content informations that dot pattern ID is corresponding at database.In database, call simultaneously corresponding with character string dot pattern ID and the content information corresponding with the corresponding dot pattern ID of dot pattern.
Wherein, if this content information is audio file, by loudspeaker, this audio file is play.
If this content information is video file, by display screen, this video file is play.
If this content information is text, by display screen, text file is play.
As shown in Figure 5, the invention provides a kind of device of can be simultaneously electronic supervision code and dot pattern being identified, this device is implemented for the method that Fig. 2 is recorded.This device comprises housing 1, trigger 2, is located at the mainboard with central processing element (not describing in figure), electronic supervision code sweep test 3, dot pattern sweep test 4, contrast module 5, database 6, calling module 7, feedback module 8 and dot pattern discrimination module 9 in housing.
Wherein, dot pattern sweep test 4 is connected with mainboard with trigger, for dot pattern being scanned and the dot pattern image getting being resolved, thereby extracts the dot pattern ID after resolving.
Wherein, dot pattern sweep test comprises:
Dot pattern scan components, for the dot pattern that is implanted in article surface is scanned, to generate the dot pattern image that meets default grey level.
In dot pattern scan components, comprising:
Dot pattern scanning module, for sending the light that can identify dot pattern, to obtain dot pattern image;
Dot pattern sensor devices, getting after the dot pattern image that is implanted in article surface, need to be processed it, so that the grey level of image reaches preset range, comprises the following steps:
Filter out unnecessary spectrum in the dot pattern image getting by optical filter;
Catch remaining spectrum in dot pattern image by optical lens;
Regulate time shutter and figure frame per second by grey level unit, the grey level of the complete image capturing is reached between 110～200.
If dot pattern scanning module get several are all the pictures with dot pattern image, picture is after automatic processing so, select to approach most in several pictures a picture with dot pattern image of the grey scale values upper limit, to carry out follow-up processing.
If what dot pattern scanning module got is the video image with dot pattern image, be several picture frames by this Video Image Segmentation so, by each picture frame after automatic processing, select to approach most in several picture frames a picture frame of the grey scale values upper limit, to carry out follow-up processing.
Obtaining meeting after the dot pattern image of grey level, dot pattern image is resolved, thereby obtain the dot pattern ID corresponding with dot pattern, and the dot pattern ID after resolving is placed in buffer memory.
Dot pattern image analysis module, for dot pattern image is resolved, to convert several dot pattern ID corresponding thereto to;
Dot pattern ID extraction module, for placing buffer memory by the dot pattern ID after resolving.
Dot pattern discrimination module 9 is for distinguishing the true and false of dot pattern image dot pattern.Wherein, in dot pattern ID database to the dot pattern ID that obtains after resolving is searched, if lookup result is yes, start electronic supervision code scanning module with electron gain supervision code image, if distinguish, result is false, do not start electronic supervision code scanning module, and directly feed back abnormal information.
Electronic supervision code sweep test 3 is connected with mainboard with trigger, for electronic supervision code being scanned and the electronic supervision code image getting being resolved, thereby extracts the dot pattern ID corresponding with electronic supervision code after resolving.
Electronic supervision code sweep test comprises:
Electronic supervision code scan components, for the electronic supervision code that is implanted in article surface is scanned, to generate the electronic supervision code image that meets default grey level.
Wherein, getting after the electronic supervision code image that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprise the following steps:
Filter out unnecessary spectrum in the electronic supervision code image getting by optical filter;
Catch remaining spectrum in electronic supervision code image by optical lens;
Regulate time shutter and figure frame per second by grey level unit, the grey level of the complete image capturing is reached between 110～200.
If electronic supervision code scanning module get several are all the pictures with electronic supervision code image, picture is after automatic processing so, select to approach most in several pictures a picture with electronic supervision code image of the grey scale values upper limit, to carry out follow-up processing.
If what electronic supervision code scanning module got is the video image with electronic supervision code image, be several picture frames by this Video Image Segmentation so, by each picture frame after automatic processing, select to approach most in several picture frames a picture frame of the grey scale values upper limit, to carry out follow-up processing.
Electronic supervision code image analysis module, for electronic supervision code image is resolved, to convert the dot pattern ID corresponding with electronic supervision code to.
Wherein, obtaining meeting after the electronic supervision code image of grey level, adopting standard algorithm to convert the electronic supervision code in effective electron supervision code figure to character string information corresponding thereto.Wherein, standard algorithm is the one in Data Matrix, MaxiCode, Aztec, QR Code, Vericode, PDF417, Ultracode, Code49 or Code16K.
After character string after being resolved, send it to image primitive coded system, by image primitive coded system, the character string of generation is defined as to corresponding dot pattern ID.
Dot pattern ID extraction module, for placing buffer memory by the dot pattern ID corresponding with electronic supervision code obtaining after resolving.
Wherein, electronic supervision code scanning module and dot pattern scanning module are in the same plane.
By by resolve after obtain the dot pattern ID corresponding with electronic supervision code, with dot pattern by resolve after dot pattern ID contrast, whether corresponding to judge the two, if the determination result is YES, in database, search content corresponding thereto, if judged result is no, feed back abnormal information.
Wherein, in database, search simultaneously corresponding with character string dot pattern ID and the content information corresponding with the corresponding dot pattern ID of dot pattern, if lookup result is yes, by calling module, this content information is called, if lookup result is no, feed back abnormal information.
In addition, database is also provided with for the interface content information of its storage inside being upgraded and relevant setting is upgraded to database.
Calling module 7 is for calling while and two content informations that dot pattern ID is corresponding at database.In database, call simultaneously corresponding with character string dot pattern ID and the content information corresponding with the corresponding dot pattern ID of dot pattern.
Wherein, if this content information is audio file, by loudspeaker, this audio file is play.
If this content information is video file, by display screen, this video file is play.
If this content information is text, by display screen, text file is play.
In the present invention, the antifalse being formed by dot pattern and electronic supervision code identifies, by organizing dot pattern and electronic supervision code forms more, many group dot patterns are distributed in the outside of electronic supervision code, or electronic supervision code is arranged on by organizing dot pattern more and arranges in order and form in a dot pattern frame.
The information point that dot pattern is 30～40 microns by least one group of diameter rearranges, and with the shape of specifying.Because the diameter of information point is small, and be preset with corresponding spacing distance between two adjacent information points, after the mode that is copied or scans copies, distance between adjacent two information points can be found deviation, the shape of specifying also can change, thereby form the invalid code that cannot be identified, therefore, the position of information point and the distance between the two can improve the anti-counterfeiting performance of dot pattern.In two adjacent information points, the spacing between the center of center to the second information point of being put by the first information is 80 microns.Information point in this dot pattern comprises direction reference point, center reference point and check code-point.
Dot pattern adopts the coating that can be identified by naked eyes invisible light to be attached on the white space of carrier, one in the visible coating that the coating that can be identified by naked eyes invisible light is carbon containing or the invisible coating of carbon containing, visible ink or ink that the visible coating of carbon containing is carbon containing, the colorless ink that the invisible coating of carbon containing is carbon containing or ink.Due to visible ink or the ink of carbon containing, and the colorless ink of carbon containing or ink can absorb the infrared ray of specific band, therefore, only has infrared ray recognition device to identify the information in label layer.
Only as described above, be only preferred embodiment of the present invention, such as professional who are familiar with this art.After understanding technological means of the present invention, natural energy, according to actual needs, is changed under instruction of the present invention.Therefore all equal variation and modifications of doing according to the present patent application the scope of the claims, once should still remain within the scope of the patent.
Claims (12)
1. a method of identifying the anti-counterfeiting mark of electronic supervision code and dot pattern formation, comprises the following steps:
Scanning forms the dot pattern in anti-counterfeiting mark, the dot pattern image obtaining is resolved, and distinguish the true and false of dot pattern;
Scanning forms the electronic supervision code in anti-counterfeiting mark, and the electronic supervision code image obtaining is resolved, thereby extracts the dot pattern ID corresponding with electronic supervision code after resolving;
Dot pattern ID corresponding with electronic supervision code after resolving is contrasted with resolving dot pattern ID rear and that dot pattern is corresponding, to judge whether the two matches;
According to above-mentioned matching result, in database, call while and two content informations that dot pattern ID is corresponding;
Content information is reported.
2. method according to claim 1, is characterized in that, the concrete steps of said method are:
S1, starter gear, make recognition device energising and in holding state;
S2, judge whether electronic supervision code scanning module and dot pattern scanning module normally start, if judged result be normal, perform step S3, if judged result is undesired, perform step S4, feed back abnormal information;
S3, scanning are implanted in the electronic supervision code on article surface, and the electronic supervision code image obtaining is resolved, thereby the dot pattern ID corresponding with electronic supervision code after resolving is placed in buffer memory;
S5, scanning are implanted in the dot pattern on article surface, and the dot pattern image obtaining is resolved, thereby the dot pattern ID after resolving is placed in buffer memory;
S6, to resolve after the dot pattern ID corresponding with electronic supervision code with resolve after dot pattern ID contrast, whether corresponding to judge the two, if the determination result is YES, perform step S7, if judged result is no, perform step S4, feedback abnormal information;
S7, in database, search simultaneously and two content informations that dot pattern ID is corresponding, if lookup result be yes, perform step S8, if lookup result is no, perform step S4, feed back abnormal information;
S8, be invoked in database simultaneously and two content informations that dot pattern ID is corresponding;
S9, content information is reported.
3. method according to claim 2, is characterized in that, in step S3, getting after the electronic supervision code image that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprises the following steps:
Filter out unnecessary spectrum in the electronic supervision code image getting;
Catch remaining spectrum in electronic supervision code image;
Regulate time shutter and figure frame per second, the grey level of the complete image capturing is reached between 110～200.
4. method according to claim 2, is characterized in that, in step S5, getting after the dot pattern image that is implanted in article surface, need to process it, so that the grey level of image reaches preset range, comprises the following steps:
Filter out unnecessary spectrum in the dot pattern image getting;
Catch remaining spectrum in dot pattern image;
Regulate time shutter and figure frame per second, the grey level of the complete image capturing is reached between 110～200.
5. method according to claim 1, is characterized in that, said method also comprises that following concrete steps are:
S10, starter gear, make recognition device energising and in holding state;
S20, judge whether electronic supervision code scanning module and dot pattern scanning module normally start, if judged result be normal, perform step S30, if judged result is undesired, perform step S40, feed back abnormal information;
S30, scanning form the dot pattern in anti-counterfeiting mark, the dot pattern image obtaining is resolved to obtain dot pattern ID, and be placed in buffer memory;
S50, distinguish the true and false of dot pattern in dot pattern image, if distinguish, result is true, performs step S60, if distinguish, result is false, performs step S40, feedback abnormal information;
S60, scanning are implanted in the electronic supervision code on article surface, and the electronic supervision code image obtaining is resolved, thereby the dot pattern ID corresponding with electronic supervision code after resolving is placed in buffer memory;
S70, to resolve after the dot pattern ID corresponding with electronic supervision code with resolve after dot pattern ID contrast, whether corresponding to judge the two, if the determination result is YES, perform step S80, if judged result is no, perform step S40, feedback abnormal information;
S80, in database, search simultaneously and two content informations that dot pattern ID is corresponding, if lookup result be yes, perform step S90, if lookup result is no, perform step S40, feed back abnormal information;
S90, be invoked in database simultaneously and two content informations that dot pattern ID is corresponding;
S100, content information is reported.
6. application rights requires a device for method described in 1, comprises housing, trigger, is located at the mainboard with central processing element in housing, it is characterized in that, also comprises:
Dot pattern sweep test, is connected with described mainboard with described trigger, for dot pattern being scanned and the dot pattern image getting being resolved, thereby extracts the dot pattern ID after resolving;
Electronic supervision code sweep test, is connected with described mainboard with described trigger, for electronic supervision code being scanned and the electronic supervision code image getting being resolved, thereby extracts the dot pattern ID corresponding with electronic supervision code after resolving;
Contrast module, contrasts for the dot pattern ID that the dot pattern ID to corresponding with electronic supervision code after resolving is rear with parsing and dot pattern is corresponding;
Calling module, for calling while and two content informations that dot pattern ID is corresponding at database;
Feedback module, for reporting content information.
7. device according to claim 6, is characterized in that, described dot pattern sweep test comprises:
Dot pattern scan components, for the dot pattern that is implanted in article surface is scanned, to generate the dot pattern image that meets default grey level;
Dot pattern image analysis module, for dot pattern image is resolved, to convert several dot pattern ID corresponding thereto to;
Dot pattern ID extraction module, for placing buffer memory by the dot pattern ID after resolving.
8. device according to claim 7, is characterized in that, in described dot pattern scan components, comprising:
Dot pattern scanning module, for sending the light that can identify dot pattern, to obtain dot pattern image;
Dot pattern sensor devices, for the dot pattern image obtaining is processed, comprising:
Optical filter, for filtering out the unnecessary spectrum of dot pattern image getting;
Optical lens, for catching the remaining spectrum of dot pattern image;
Grey level unit, for regulating time shutter and figure frame per second, reaches between 110～200 the grey level of the complete image capturing.
9. device according to claim 6, is characterized in that, described electronic supervision code sweep test comprises:
Electronic supervision code scan components, for the electronic supervision code that is implanted in article surface is scanned, to generate the electronic supervision code image that meets default grey level;
Electronic supervision code image analysis module, for electronic supervision code image is resolved, to convert the dot pattern ID corresponding with electronic supervision code to;
Dot pattern ID extraction module, for placing buffer memory by dot pattern ID corresponding with electronic supervision code after resolving.
10. device according to claim 9, is characterized in that, in described electronic supervision code scan components, comprising:
Electronic supervision code scanning module, for sending the light that can identify electronic supervision code, to obtain electronic supervision code image;
Electronic supervision code sensor devices, for the electronic supervision code image obtaining is processed, comprising:
Optical filter, for filtering out the unnecessary spectrum of electronic supervision code image getting;
Optical lens, for catching the remaining spectrum of electronic supervision code image;
Grey level unit, for regulating time shutter and figure frame per second, reaches between 110～200 the grey level of the complete image capturing.
11. according to arbitrary described device in claim 6 to 10, it is characterized in that, also comprises database, for storing while and two content informations that dot pattern ID is corresponding.
12. according to the device described in claim 11, it is characterized in that, also comprises dot pattern discrimination module, for the true and false of dot pattern image dot pattern is distinguished.
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| CN201410053901.7A CN103793732A (en) | 2014-02-18 | 2014-02-18 | Method and device for identifying anti-counterfeiting mark composed of electronic monitoring code and raster graphic |
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| CN201410053901.7A CN103793732A (en) | 2014-02-18 | 2014-02-18 | Method and device for identifying anti-counterfeiting mark composed of electronic monitoring code and raster graphic |
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