CN109272006A - Anti-counterfeit sign with random texture pattern decision-making system and determination method - Google Patents
Anti-counterfeit sign with random texture pattern decision-making system and determination method Download PDFInfo
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Abstract
The invention discloses a kind of anti-counterfeit sign with random texture pattern decision-making system and determination methods, where it is determined that system includes: storage device, Memory Reference pattern data；Identification person's pattern data extraction element, receives the identification pattern of identification person's shooting, and extracts identification person's pattern data；Match decision maker, connect identification person's pattern data extraction element and storage device, identification person's pattern data and reference pattern data are matched, identification pattern is determined, anti-counterfeit sign with random texture pattern decision-making system of the invention and determination method can effectively improve the reliability of anti-counterfeiting mark identification, and have high convenience, efficientibility.
Description
Technical field
The present invention relates to field of anti-counterfeit technology, in particular to a kind of anti-counterfeit sign with random texture pattern decision-making system and judgement
Method.
Background technique
With the development of anti-counterfeiting technology, anti-counterfeiting mark is widely used to product false proof field.The type of anti-counterfeiting mark
In continuous upgrading variation, to meet higher anti-fake requirement.
Anti-counterfeiting mark common at present has digital label anti-counterfeiting mark, fluorescence labels anti-counterfeiting mark, laser digital anti-counterfeiting label
Knowledge, bar coded sticker anti-counterfeiting mark, two-dimension code anti-counterfeit mark etc., anti-fake mode and technology are varied, but seem still without
Method meets anti-fake demand in the market, a large amount of counterfeit goods of still unworthily moving currently on the market.In other words, existing anti-fake skill
Art is all lacking in reliability, easily loses anti-fake meaning by fake producer's break-through skill.
In addition, traditional anti-counterfeiting technology, there is also problems, the canals of verification in the link for verifying anti-counterfeiting mark by identification person
Road is not smooth, inefficient etc. all causes obstruction to the final identification of anti-counterfeiting mark.Especially in this present electronic network
Network epoch, the acquisition of information, transmission, processing etc. require facilitation, rapid, and traditional anti-fake mode gradually seems
Fall behind, inefficiency, is unable to satisfy the demand of people.
In view of the foregoing, the designer borrows the technical experience and professional knowledge abundant of its many years related fields, no
Disconnected research and development improve, and through a large amount of practical proof, propose anti-counterfeit sign with random texture pattern and based on its anti-counterfeiting system and
Method for anti-counterfeit, anti-counterfeit sign with random texture pattern arranges random texture patterns around identification pattern, to be formed whole
Anti-counterfeit sign with random texture pattern, when distinguishing the true and false of security pattern, random texture patterns are participated, and identification person will be obtained
The identification pattern taken compares with Datum identifier pattern, comparison result by as mark identification important evidence, thus
Significantly improve anti-fake accuracy and reliability.
Summary of the invention
The purpose of the present invention is to provide a kind of anti-counterfeit sign with random texture pattern decision-making systems, can effectively improve anti-fake
The reliability of identification is identified, and there is high convenience, efficientibility.
Another object of the present invention is to provide a kind of anti-counterfeit sign with random texture pattern determination methods, can effectively improve
The reliability of anti-counterfeiting mark identification, and there is high convenience, efficientibility.
To achieve the goals above, the present invention provides a kind of anti-counterfeit sign with random texture pattern decision-making systems, comprising: deposits
Storage device, Memory Reference pattern data form the database of a reference pattern data；Identification person's pattern data extraction element,
The identification pattern of identification person's shooting is received, and extracts identification person's pattern data；Decision maker is matched, identification person's pattern is connected
Data extraction device and the storage device, identification person's pattern data and reference pattern data are matched, to identification pattern
Determined.
Preferably, above-mentioned anti-counterfeit sign with random texture pattern decision-making system, wherein further include detection screening plant, even
Be connected to identification person's pattern data extraction element with match between decision maker, the detection screening plant receives identification person and claps
The identification pattern taken the photograph, detection obtains the characterisitic parameter of the identification pattern, and determines whether screening interference value has according to characterisitic parameter
Effect, screens identification person's pattern data.
Preferably, above-mentioned anti-counterfeit sign with random texture pattern decision-making system, wherein the matching decision maker includes:
Matching module connects the storage device of identification person's pattern data extraction element and the Memory Reference pattern data, will know
Other person's pattern data and reference pattern data match, and obtain similarity；Determination module connects the detection screening plant,
The characterisitic parameter is received, determines whether true and false interference value is effective according to characterisitic parameter；The determination module is also connected with described
With module, the similarity is received, determines that result further claps identification person according to the similarity and the true and false interference value
The identification pattern taken the photograph is determined, result is exported.
Preferably, above-mentioned anti-counterfeit sign with random texture pattern decision-making system, wherein further include: reference pattern acquisition dress
It sets, acquires true target identification pattern；Data processor connects the reference pattern acquisition device and the storage device, receives
The true target pattern of the reference pattern acquisition device acquisition simultaneously carries out data processing, obtain reference pattern data and is transferred to institute
State storage device.
Preferably, above-mentioned anti-counterfeit sign with random texture pattern decision-making system, wherein the data processor further wraps
Include: reference pattern pretreatment unit receives the true target identification pattern of the reference pattern acquisition device, carries out data and locates in advance
Reason；Reference pattern data extraction device connects the reference pattern pretreatment unit and the storage device, receives the benchmark
The data of pattern pretreatment unit output are simultaneously arranged, obtain reference pattern data and are transferred to the storage device.
Preferably, above-mentioned anti-counterfeit sign with random texture pattern decision-making system, wherein the true identification pattern includes compiling
The pattern of code, identification person's shooting is the identification pattern comprising coding of mobile terminal shooting.
Preferably, above-mentioned anti-counterfeit sign with random texture pattern decision-making system, wherein the coding includes two dimensional code, institute
Stating mobile terminal includes mobile phone.
Preferably, above-mentioned anti-counterfeit sign with random texture pattern decision-making system, wherein the storage device is network storage
Device, the database stored can be network cloud database.
To achieve the goals above, it the present invention also provides a kind of anti-counterfeit sign with random texture pattern determination method, is based on
Above-mentioned anti-counterfeit sign with random texture pattern decision-making system of the invention, determination method include: step 1, Memory Reference pattern numbers
According in storage device；Step 2 receives and processes the mark figure of identification person's shooting by identification person's pattern data extraction element
Case obtains identification person's pattern data；Step 3, by matching decision maker for identification person's pattern data and the reference map
Case data are matched, and are determined identification pattern.
Preferably, above-mentioned determination method, wherein further include the mark of detection screening identification person's shooting before step 2
The step of knowing pattern, in the step, detection screening plant receives the identification pattern of identification person's shooting, and detection obtains the identification pattern
Characterisitic parameter, and according to characterisitic parameter determine screening interference value it is whether effective, when the screening interference value is invalid, upload this
Identification pattern is to identification person's pattern data extraction element；When the screening interference value is effective, identification person's shooting is intercepted
The identification pattern.
Preferably, above-mentioned determination method, wherein determine whether screening interference value effectively includes: to set according to characterisitic parameter
It sets characterisitic parameter first and comes into force and threshold value or first come into force section, threshold value or be located at when the characterisitic parameter is more than or equal to first and comes into force
First when coming into force in section, then determines that the screening interference value is effective；When the characterisitic parameter comes into force threshold value or position less than first
When first comes into force outside section, then determine that the screening interference value is invalid.
Preferably, above-mentioned determination method, wherein it includes matching module and judgement mould that decision maker is matched in step 3
Block；Identification person's pattern data and reference pattern data are matched by the matching module, obtains similarity；Sentenced by described
Cover half block receives the similarity and the characterisitic parameter of the detection screening plant transmission further passes through the characterisitic parameter
Determine whether true and false interference value is effective, and then identification pattern is determined by the true and false interference value and similarity.
Preferably, above-mentioned determination method, wherein described to determine whether true and false interference value effectively wraps by characterisitic parameter
Include: setting characterisitic parameter second, which comes into force, threshold value or second to come into force section, comes into force threshold value when the characterisitic parameter is more than or equal to second
Or positioned at second come into force in section when, then determine that the true and false interference value is effective；When the characterisitic parameter comes into force threshold less than second
Value or positioned at second come into force outside section when, then determine that the screening interference value is invalid.
Preferably, above-mentioned determination method, wherein identification pattern packet is determined by the true and false interference value and similarity
It includes: default false mark similarity upper limit value；It is low similarity state when the similarity is less than false mark similarity upper limit value, it is low
When similarity state, when the true and false interference value be it is invalid, then determine that the identification pattern of identification person's shooting is false；When the true and false
Interference value be it is effective, then do not do and determine.
Preferably, above-mentioned determination method, wherein further comprise: presetting the safe decision content of the similarity, described
Safe decision content is greater than the false mark similarity upper limit value；When the similarity is more than or equal to the safe decision content, determine
The identification pattern of identification person's shooting is true；When the similarity is more than or equal to the false mark similarity upper limit value and is less than the peace
When full decision content, does not do and determine.
Preferably, above-mentioned determination method, wherein do not do when determining, feed back to identification person and retake prompt information or nothing
Method judges information.
Preferably, above-mentioned determination method, wherein in the step 2: identification person's pattern data extraction element, which receives, to be known
After the identification pattern of other person's shooting, image preprocessing is carried out to it, obtains pretreated identification person's pattern data.
Preferably, above-mentioned determination method, wherein further include at reference pattern acquisition and data before the step 1
Step is managed, true target identification pattern is acquired by reference pattern acquisition device, then through data processing, obtain reference pattern data.
Preferably, above-mentioned determination method, wherein reference pattern is the identification pattern for including coding, and identification person shoots mark
Knowing pattern is by identification pattern of the mobile terminal shooting comprising coding.
Preferably, above-mentioned anti-counterfeit sign with random texture pattern decision-making system, wherein the coding includes two dimensional code, institute
Stating mobile terminal includes mobile phone.
It can be seen from the above, anti-counterfeit sign with random texture pattern decision-making system of the invention and determination method have following advantages
And feature:
1, random texture patterns are integrated by anti-counterfeit sign with random texture pattern decision-making system of the invention and determination method
In the judgement of anti-counterfeiting mark, the reliability of anti-counterfeiting mark is significantly improved, it is theoretically complete since textured pattern is randomly generated
A possibility that having prevented fake producer's puppet entirely is equipped with graphic processing data of the invention, matching decision-making system and method, makes anti-fake
Technology has the change and raising of matter.
2, identification person utilizes mobile terminal in anti-counterfeit sign with random texture pattern decision-making system of the invention and determination method
Identification person's pattern data is obtained, the processing and matching of pattern data are carried out by mobile network and storage device, database etc.
Compare, the final true and false for determining mark, the process of entire anti-counterfeiting identification can be accustomed to making by mobile network and current people
Mobile terminal carries out, and for identification person, operation is very simple convenient, is by mobile terminals such as mobile phones at one's side
It can be achieved；Comparison additionally by network transmission and with reference pattern database, the processing of information and transmission speed are very high, mention
The high whole efficiency of anti-counterfeiting identification.
3, anti-counterfeit sign with random texture pattern decision-making system of the invention and determination method can effectively filter out mobile phone model, clap
The interference such as shake, focusing, distance, light, light and shade, lighting angle, shooting angle, photochromic, pollution is taken the photograph, the judgement of anti-counterfeiting mark is made
It is more accurate.
4, anti-counterfeit sign with random texture pattern determination method of the invention by setting screening interference value, true and false interference value and
The threshold value that comes into force accordingly or section of coming into force, false mark similarity upper limit value, the safe decision content of similarity, then be equipped with corresponding judgement and patrol
Volume, it is capable of the false mark of judging of high-accuracy, and it is misjudged at false target probability due to various interference to significantly reduce true mark,
The reliability that anti-counterfeiting mark distinguishes is improved on the whole.
5, anti-counterfeit sign with random texture pattern determination method of the invention, can be temporarily to not anti-fake when that can not judge
The true and false of mark makes final judgement, and feeds back to information or identification person is prompted to re-shoot mark that identification person can not judge
Pattern, other than being able to ascend user experience, this mode can also be further ensured that the accuracy of judging result, because of identification
Environment locating for person may be varied, however not excluded that some biggish particular surroundings of interference, the institute in the excessive environment of interference value
The influence that the pattern data of acquisition judges the final true and false is too big, for guarantee accuracy, in such cases system without judgement,
The probability of erroneous judgement can be greatly reduced in this mode.
Detailed description of the invention
Fig. 1 is anti-counterfeit sign with random texture pattern decision-making system first embodiment module diagram of the present invention；
Fig. 2 is anti-counterfeit sign with random texture pattern decision-making system second embodiment module diagram of the present invention；
Fig. 3 is anti-counterfeit sign with random texture pattern decision-making system 3rd embodiment module diagram of the present invention；
Fig. 4 is one embodiment step schematic diagram of anti-counterfeit sign with random texture pattern determination method of the present invention；
Fig. 5 is another embodiment step schematic diagram of anti-counterfeit sign with random texture pattern determination method of the present invention.
Main element label declaration:
1 storage device
2 identification person's pattern data extraction elements
3 matching decision makers
31 matching modules
32 determination modules
4 detection screening plants
5 reference pattern acquisition devices
6 data processors
Specific embodiment
For a clearer understanding of the technical characteristics, objects and effects of the present invention, this hair of Detailed description of the invention is now compareed
Bright specific embodiment, but it is only preferred embodiment, the essential scope being not intended to limit the invention.
First embodiment
Referring Figure 1, illustrating for anti-counterfeit sign with random texture pattern decision-making system first embodiment module of the present invention
Figure is used for Memory Reference pattern data as shown, decision-making system of the invention specifically includes that storage device 1, forms benchmark
The database of pattern data；Identification person's pattern data extraction element 2, receives the identification pattern of identification person's shooting, and extracts identification
Person's pattern data；Decision maker 3 is matched, identification person's pattern data extraction element 2 and storage device 1 are connected, by identification person's pattern
Data and reference pattern data are matched, and are determined identification pattern.
Storage device 1 is stored with reference pattern data, and reference pattern data are the matching comparison of identification person's pattern data
Benchmark, in general, reference pattern data are under ideal conditions, stringent industry acquisition and correlation to be carried out to true anti-counterfeiting mark
Obtained pattern data is handled, can be considered accurate reference data.Storage device 1 can have a large amount of reference pattern data, be formed
The database of one reference pattern data.
Identification person's pattern data extraction element 2 receives the identification pattern for its shooting that identification person transmits and extraction
Identification person's pattern data.The mode of transmission can be to be wired or wireless, it should be noted that shooting behavior designated herein includes
Identification person's mobile terminal, camera terminal etc. shine its anti-counterfeiting mark encountered in the various environment such as life or work
Phase, scanning etc., mobile terminal can be common mobile phone or tablet computer etc., and camera terminal can be camera etc., at present mobile phone ratio
It is relatively universal, and the scanning function of mobile phone is also familiar with by users, identification person using mobile phone scan it is daily seen by it is anti-fake
Data then are uploaded to identification person's pattern data extraction element 2 by mobile network by mark, will be as a kind of high convenience and general
And the mode of the acquisition identification pattern of rate.Identification person's pattern data extraction element 2 can be a computer processing system, this field skill
Art personnel just can set up the computer system suitable for this programme demand according to actual needs.
Decision maker 3 is matched, identification person's pattern data extraction element 2 is connected and storage device 1, connection type can be wired
Connection is wirelessly connected, and is received the identification person's pattern data and reference pattern data that the two is transmitted and is matched, such as can be straight
It connects comparison and obtains its similarity, and then show that anti-counterfeiting mark captured by identification person is that true mark, false mark or do not do determines etc. to sentence
Determine result.
Second embodiment
Referring to Figure 2, illustrating for anti-counterfeit sign with random texture pattern decision-making system second embodiment module of the present invention
Figure, as shown, being with the difference of above-mentioned first embodiment, the decision-making system in the present embodiment further includes detection screening plant
4, be connected to identification person's pattern data extraction element 2 with match between decision maker 3, detection screening plant 4 receive identification person clap
The identification pattern taken the photograph, detection obtains the characterisitic parameter of the identification pattern, and determines whether screening interference value has according to characterisitic parameter
Effect, screens identification person's pattern data, and satisfactory pattern data is uploaded to matching decision maker 3, will be interfered
Big identification person's pattern intercepts, to avoid final comparison result is influenced.Above-mentioned characterisitic parameter is what identification person shot
Various interference parameters included in identification pattern, for example may include mobile phone model, shooting shake, focusing, distance, light, bright
Secretly, lighting angle, shooting angle, photochromic, pollution etc..Screening interference value is an artificial preset judgment value, effectively and
Invalid two judge state, determine whether the screening interference value comes into force according to above-mentioned a variety of interference values.
Further, in the present embodiment, matching decision maker 3 may also include matching module 31 and determination module 32, wherein
Matching module 31 connects the storage device 1 of identification person's pattern data extraction element 2 and the Memory Reference pattern data, receives and knows
Other person's pattern data and reference pattern data simultaneously carry out matching comparison to the two, obtain the similarity of the two.Graphic Pattern Matching compares
Show that similarity can be realized by computer system, and existing conventional mode, details are not described herein.
32 connecting detection screening plant 4 of determination module and matching module 31 receive what detection screening plant 4 transmitted
Identification person shoots the characterisitic parameter of identification pattern, determines whether true and false interference value is effective according to characterisitic parameter, the true and false herein
Interference value is similar with above-mentioned screening interference value, effective and invalid two judge shape for an artificial preset judgment value
State determines that the true and false interference value is effective or invalid according to a variety of interference values；Determination module 32 also receives matching module 31
The similarity that transmission comes, the identification pattern further identification person shot according to similarity and the judgement state of true and false interference value into
It goes and determines, obtain as a result, i.e. true mark, vacation are marked or without determining.
It is additionally arranged detection screening plant 4 in the present embodiment, passes through the various spies of its identification pattern for obtaining identification person's shooting
Property parameter, and by characterisitic parameter be applied to it is subsequent screening and determination step in so that various interference can not influence anti-counterfeiting mark
Judgement, improve anti-counterfeiting mark distinguish accuracy and reliability.
Other technical characteristics in the present embodiment are identical as above-mentioned first embodiment, and function having the same reaches identical
Technical effect, this will not be repeated here.
3rd embodiment
Referring to Figure 3, illustrating for anti-counterfeit sign with random texture pattern decision-making system 3rd embodiment module of the present invention
Figure, as shown, the present embodiment is additionally arranged reference pattern acquisition on the basis of above-mentioned first embodiment or second embodiment
Device 5 and data processor 6.
For reference pattern acquisition device 5 for acquiring true target identification pattern, the quality of acquisition is higher, is usually preferably adopting
It is operated in collection environment, the pattern data interference value collected is very low.Reference pattern acquisition device can be used conventional
Industrial high precision collecting device.
Data processor 6 connects benchmark Collecting Pattern device 5 and storage device 1, receives reference pattern acquisition device 5
The pattern data collected obtains reference pattern data by data preparation, and reference pattern data are uploaded to storage device
In 1.
Data processor 6 can further comprise reference pattern pretreatment unit and reference pattern data extraction device, wherein
Reference pattern pretreatment unit receives the true identification pattern of reference pattern acquisition device, carries out data prediction；Reference pattern number
According to extraction element, reference pattern pretreatment unit and storage device are connected, receives the data of reference pattern pretreatment unit output
And it is arranged, obtain reference pattern data and is transferred to storage device.By pre-treatment step, the interference of reference pattern data
It will further decrease, improve accuracy.Its specific structure and operating procedure have been compared with conventional technique, herein no longer in detail
It describes in detail bright.
Reference pattern data can also be stored data in other storage mediums, be introduced directly into storage device 1, shape
At database.The industrial acquisition device and corresponding data processor of reference pattern are relatively common, and details are not described herein.
It is above the composition of anti-counterfeit sign with random texture pattern decision-making system of the present invention, wherein the random grain being previously mentioned
Identification pattern includes coding pattern and cooperates the random texture patterns of arrangement with it, and coding pattern can be common two dimensional code.It deposits
Storage device 1 can be network memory, and the reference pattern database of storage can be network cloud database, and identification person is swept with mobile phone
The anti-counterfeiting mark pattern encountered in daily routines is retouched, is uploaded by wireless network, and is stored in network cloud database
Reference pattern data carry out matching comparison.
In addition, the present invention also proposes a kind of anti-counterfeit sign with random texture pattern determination method, based on aforementioned present invention with
Machine texture anti-fake identification pattern decision-making system.
Incorporated by reference to reference Fig. 4 anti-counterfeit sign with random texture pattern determination method first embodiment step schematic diagram of the present invention,
As shown, determination method includes: step 1, Memory Reference pattern data forms reference pattern data in storage device 1
Database；Step 2 is received and processed the identification pattern of identification person's shooting by identification person's pattern data extraction element 2, obtained
The sequence of identification person's pattern data, step 1 and step 2 is without limitation；Step 3, by matching decision maker 3 for identification person
Pattern data is matched with reference pattern data, is determined identification pattern.
In step 1, true target identification pattern can be acquired by reference pattern acquisition device, by data processing
And reference pattern data are obtained, which is stored in storage device 1；Alternatively, can also be to have been stored in other storage mediums
Some reference pattern data, are introduced directly into storage device 1.
In step 2, identification person's pattern data extraction element receives the identification pattern of identification person's shooting and does respective handling,
Obtain identification person's pattern data.There is above-mentioned record it is found that identification person can scan daily seen anti-counterfeiting mark figure using mobile phone
Pattern data is uploaded to identification person's pattern data extraction element by mobile network, obtains identification person by data processing by case
Pattern data.
In step 3, the reference pattern number that will be stored in identification person's pattern data and storage device by matching decision maker
According to matching comparison is done, identification pattern is determined.It is above-mentioned to describe anti-counterfeit sign with random texture pattern of the invention including compiling
Code area and random grain area, code area may include two dimensional code, and transferring for reference data can be by two in storage device, database
Code addressing is tieed up to realize, realizes identification person's pattern data compared with the matching of reference pattern data, the specific steps are routine techniques,
It is no longer described in detail herein.
Referring to Figure 5, further including that detection screening identification person shoots before step 2 in another embodiment
The step of identification pattern, the shooting environmental as locating for identification person is varied, the shooting behavior of identification person itself by it is a variety of because
Element influence, so shoot resulting identification pattern also can exist interference, if it is some there are the pattern datas of larger interference not
Filtered out if being uploaded, the accuracy finally judged can be seriously affected, in order to guarantee it is anti-fake determine whole reliability, increase
If the detection screening step, in this step, detection screening plant 4 receives the identification pattern of identification person's shooting, and detection obtains
The characterisitic parameter of the identification pattern, for example may include focusing, distance, light, light and shade, lighting angle, shooting angle, photochromic, dirty
Dye, mobile phone model, shooting shake etc. and the dim pattern degree generated by above-mentioned multinomial comprehensive function, and sentenced according to characterisitic parameter
Surely whether screening interference value is effective, and screening interference value herein is an artificial preset judgment value, effective and invalid two
A judgement state.When screen interference value it is invalid when, illustrate to interfere lower, do not interfere with subsequent judgement, the mark can be uploaded
Pattern is to identification person's pattern data extraction element；When screen interference value it is effective when, illustrate to interfere it is larger, if at this time upload will be tight
Influence subsequent judgement accuracy again, so when intercept identification person shooting the identification pattern, do not upload.
Further, for screening interference value, the first of setting property parameter, which is come into force, threshold value or first comes into force section, works as spy
Property parameter be more than or equal to first come into force threshold value or positioned at first come into force in section when, then determine screen interference value it is effective；When described
Characterisitic parameter come into force less than first threshold value or positioned at first come into force outside section when, then determine that the screening interference value is invalid.Such as
Characterisitic parameter is the fuzziness of pattern, sets first and comes into force threshold value as a, when the fuzziness of pattern is more than or equal to a, illustrates pattern
Fuzzy degree is very big, can not carry out subsequent step, determines that screening interference value is effective at this time, intercepts the mark of identification person's shooting
Pattern does not upload；When the fuzziness of pattern is less than a, illustrate that the degree of dim pattern is smaller, does not interfere with and subsequent sentence
Disconnected step determines that screening interference value is invalid at this time, uploads the identification pattern to identification person's pattern data extraction element, after carrying out
Continuous step.Certainly, in other embodiments, environment differences different according to the characterisitic parameter actually chosen, actual, can flexibly become
The setting for changing come into force threshold value and the section of coming into force stated, can also be adjusted flexibly size decision logic, those skilled in the art according to
Content disclosed above should can be easy to deduce, repeat no more, be within the scope of protection of the invention.
It is further to note that above-described embodiment has only enumerated a kind of the case where characterisitic parameter, and in practical applications,
The case where there are multifrequency nature parametric synthesis effects, in such cases, those skilled in the art are according to disclosed in above-described embodiment
Principle should can be easier to design the decision logic of comprehensive multifrequency nature parameter, for example can preset the weight of various characteristics parameter
Each characterisitic parameter is added by coefficient again multiplied by weight coefficient, the result obtained come compared with preset come into force threshold value or section, into
Row judgement.Such extension extension on that basi of the above embodiments also should belong to protection scope of the present invention.
It is based on the above, in conjunction with reference Fig. 4, the matching that the step three in embodiment illustrated in fig. 4 is previously mentioned is sentenced
Determine device may include matching module and determination module again, receive identification person's pattern data and reference pattern data by matching module
And matching comparison is carried out to the two, obtain the similarity of the two, the specific way of contrast that matches can be used in graphics process field
More conventional method, is no longer described in detail；The characterisitic parameter and similarity of detection screening plant transmission are received by determination module,
The true and false of identification person's pattern data is judged according to characterisitic parameter and similarity.
For example, judgment method can are as follows: a default false mark similarity upper limit value (upper limit value can be determined by experiment), root
A upper limit value is not exceeded substantially according to a large amount of case it is demonstrated experimentally that vacation is marked on a map and the similarity of reference pattern, that is to say, that
The false mark of the overwhelming majority and the similarity of reference pattern are less than in the section of vacation mark similarity upper limit value positioned at being more than or equal to zero,
Certainly also having true mark, excessive, similarity is too low and falls into this section due to interfering.So, when identification person's pattern data and base
When the similarity of quasi- pattern data is less than vacation mark similarity upper limit value, then it is assumed that be low similarity state.Low similarity state
When, the characterisitic parameter of detection screening plant transmission is received by determination module, and determine that screening interference value is according to characterisitic parameter
No effective, true and false interference value herein is an artificial preset judgment value, effective and invalid two judgement states.Surely
When pseudo- interference value is invalid, illustrate to interfere lower, that is to say, that identification person's pattern data and reference map under the premise of interfering lower
Case data are also in low similarity state, then can determine that the identification pattern of identification person's shooting is false at this time；When true and false interference value
When effective, illustrate to interfere larger, that is to say, that interfere it is biggish under the premise of identification person's pattern data and reference pattern data at
In low similarity state, actually or cannot judge really to mark false mark at this time, therefore do not do and determine.
Judgement is not done and is also based on reduction False Rate to consider, the letter that identification person can not judge can be fed back to by not doing when determining
Breath or prompt identification person re-shoot identification pattern, can reduce probability of miscarriage of justice while promoting user experience.
Further, in low similarity state, for true and false interference value, the second of setting property parameter come into force threshold value or
Second comes into force section, comes into force threshold value or when coming into force in section positioned at second when characterisitic parameter is more than or equal to second, then determines the true and false
Interference value is effective；When characterisitic parameter comes into force less than second threshold value or when coming into force outside section positioned at second, then determine that the screening is dry
It is invalid to disturb value.Still it is illustrated so that characterisitic parameter is the fuzziness of pattern as an example, sets second and come into force threshold value as b, work as pattern
Fuzziness be more than or equal to b when, illustrate that the degree of dim pattern is very big, at this time determine true and false interference value it is effective, determination module is not
It does and determines, that is to say, that in such cases, fuzziness is larger, and identification person's pattern data is low with reference pattern data similarity, nothing
Method judges that being identified as identification person's shooting really marks still false mark according to above-mentioned condition；When the fuzziness of pattern is less than b, explanatory diagram
The fuzzy degree of case is smaller, determines that screening interference value is invalid at this time, determines that the identification pattern of identification person's shooting is false, that is to say, that
When such situation, identification person's pattern data and reference pattern data similarity are also very low under the premise of fuzziness is lesser, then
It can determine that be false mark.It is above-mentioned not do the information or identification person is prompted to re-shoot mark for feeding back to that identification person judge when determining
Know pattern.Certainly, in other embodiments, environment differences different according to the characterisitic parameter actually chosen, actual, can flexibly become
The setting for changing come into force threshold value and the section of coming into force stated, can also be adjusted flexibly size decision logic, those skilled in the art according to
Content disclosed above should can be easy to deduce, repeat no more, be within the scope of protection of the invention.
Above-described embodiment has only enumerated a kind of the case where characterisitic parameter, and in practical applications, there are multifrequency nature parameters
The case where comprehensive function, in such cases, those skilled in the art, should can be easier to set according to above-described embodiment principle disclosed
The decision logic of comprehensive multifrequency nature parameter is counted out, for example the weight coefficient of various characteristics parameter can be preset, by each characterisitic parameter
It is added again multiplied by weight coefficient, the result obtained compared with preset come into force threshold value or section, is judged.In above-mentioned implementation
Such extension extension on the basis of example also should belong to protection scope of the present invention.
When the similarity of identification person's pattern data and reference pattern data is more than or equal to above-mentioned false mark similarity upper limit value,
It is regarded as high similarity state.The safe decision content of a default similarity, the safe decision content of the similarity should be greater than false mark
Similarity upper limit value, the safe decision content of similarity can be determined by experiment.The meaning of the safe decision content is, when similarity is greater than etc.
When the safe decision content, it can determine that the anti-counterfeiting mark of identification person shooting is really to mark.Because showing to know according to a large amount of experiment
Other person is scanned shooting, the phase of resulting identification pattern and reference pattern data to a false anti-counterfeiting mark in any case
It is also impossible to be higher than a value, the i.e. safe decision content of similarity like degree, and identification person sweeps a genuine anti-counterfeiting mark
Retouch shooting, the similarity of resulting identification pattern and reference pattern data there will be very maximum probability to be higher than similarity and determine safely
Value, small probability can be less than the safe decision content of similarity due to interfering too big, so the safe decision content of the similarity can be used for sentencing
The anti-counterfeiting mark for determining identification person's shooting is really to mark.
When similarity is more than or equal to false mark similarity upper limit value and is less than safe decision content, does not do and determine.It is a large amount of real
Verify it is bright, be in this section the case where probability it is little, the implementation of entire determination method will not be significantly affected.Equally, it does not do
The information or identification person is prompted to re-shoot identification pattern that identification person can not judge can be fed back to when judgement, promote user's body
It tests, while reducing probability of miscarriage of justice.After identification person rescans anti-counterfeiting mark, maximum probability is by can be according to judgement side disclosed above
Method and obtain judgement result.
In addition, identification person's pattern data extraction element receives identification in step 2 in Fig. 4 or embodiment shown in fig. 5
After the identification pattern of person's shooting, image preprocessing can be carried out to it, pretreated identification person's pattern data be obtained, after pretreatment
Image data be beneficial to obtain more accurate similarity in subsequent match comparison step, and then improve entire anti-counterfeiting identification
Reliability.Image preprocessing can be image enhancement processing, image Compression, image restoring processing etc., or be a variety of places
The synthesis of reason.
In Fig. 4 or embodiment shown in fig. 5, it may also include reference pattern acquisition and data processing step before step 1
Suddenly, such as true identification pattern can be acquired by high-precision industrial acquisition device, then through data processing, obtains reference pattern number
According in deposit storage device.Data processing herein can be general data preparation and simple process, can also increase above-mentioned
Data prediction repeats no more.
In above embodiments documented reference pattern, identification person's pattern can be include the identification pattern of coding, such as
Coding can be two dimensional code, the identification pattern including coding can be include the anti-counterfeit sign with random texture pattern of two dimensional code, that is,
Anti-counterfeiting mark pattern random grain being arranged in around two dimensional code.The mode of identification person's shooting or scanning identification pattern is to pass through
The identification pattern of mobile terminal shooting or scanning comprising coding, mobile terminal herein can be common mobile phone, be clapped by mobile phone
It takes the photograph or scans and be directly uploaded to mobile network after obtaining pattern data, after the completion of coming by mobile network and network cloud database
Continuous mark judgement and etc..
It is above anti-counterfeit sign with random texture pattern decision-making system and determination method of the invention, by by random grain
Pattern is integrated into the judgement of anti-counterfeiting mark, significantly improves the reliability of anti-counterfeiting mark, since textured pattern is random life
At, a possibility that theoretically having prevented fake producer's puppet completely, be equipped with graphic processing data of the invention, matching decision-making system and
Method makes anti-counterfeiting technology have the change and raising of matter.
The foregoing is merely the schematical specific embodiment of the present invention, the range being not intended to limit the invention.It is any
Those skilled in the art, made equivalent changes and modifications under the premise of not departing from design and the principle of the present invention,
It should belong to the scope of protection of the invention.
Claims (15)
1. a kind of anti-counterfeit sign with random texture pattern decision-making system characterized by comprising
Storage device, Memory Reference pattern data；
Identification person's pattern data extraction element, receives the identification pattern of identification person's shooting, and extracts identification person's pattern data；
Decision maker is matched, identification person's pattern data extraction element and the storage device are connected, by identification person's pattern numbers
It is matched according to reference pattern data, identification pattern is determined.
2. anti-counterfeit sign with random texture pattern decision-making system according to claim 1, which is characterized in that further include detection sieve
Screening device, be connected to identification person's pattern data extraction element with match between decision maker, the detection screening plant connects
The identification pattern of identification person's shooting is received, detection obtains the characterisitic parameter of the identification pattern, and determines that screening is dry according to characterisitic parameter
It whether effective disturbs value, identification person's pattern data is screened.
3. anti-counterfeit sign with random texture pattern decision-making system according to claim 2, which is characterized in that the matching determines
Device includes:
Matching module connects identification person's pattern data extraction element and the storage device, by identification person's pattern data and
Reference pattern data are matched, and obtain similarity；
Determination module connects the detection screening plant, receives the characterisitic parameter, determines true and false interference value according to characterisitic parameter
Whether effectively；The determination module is also connected with the matching module, receives the similarity, according to the similarity and described true
Pseudo- interference value determines that result further determines the identification pattern of identification person's shooting, exports result.
4. anti-counterfeit sign with random texture pattern decision-making system according to claim 1, which is characterized in that further include:
Reference pattern acquisition device acquires true target identification pattern；
Data processor connects the reference pattern acquisition device and the storage device, receives the reference pattern acquisition dress
It sets the true target pattern of acquisition and carries out data processing, obtain reference pattern data and be transferred to the storage device.
5. anti-counterfeit sign with random texture pattern decision-making system according to claim 4, which is characterized in that the data processing
Device further comprises:
Reference pattern pretreatment unit receives the true target identification pattern of the reference pattern acquisition device, carries out data and locates in advance
Reason；
Reference pattern data extraction device connects the reference pattern pretreatment unit and the storage device, receives the base
The data of quasi- pattern pretreatment unit output are simultaneously arranged, obtain reference pattern data and are transferred to the storage device.
6. a kind of anti-counterfeit sign with random texture figure based on anti-counterfeit sign with random texture pattern decision-making system described in claim 1
Case determination method characterized by comprising
Step 1, Memory Reference pattern data is in storage device；
Step 2 is received and processed the identification pattern of identification person's shooting by identification person's pattern data extraction element, is identified
Person's pattern data；
Step 3 is matched identification person's pattern data with the reference pattern data by matching decision maker, right
Identification pattern is determined.
7. determination method according to claim 6, which is characterized in that further include detection screening identification before step 2
The step of identification pattern of person's shooting, in the step, detection screening plant receives the identification pattern of identification person's shooting, and detection obtains
The characterisitic parameter of the identification pattern, and according to characterisitic parameter determine screening interference value it is whether effective, when the screening interference value without
When effect, the identification pattern is uploaded to identification person's pattern data extraction element；When the screening interference value is effective, intercepts and know
The identification pattern of other person's shooting.
8. determination method according to claim 7, which is characterized in that determine whether screening interference value has according to characterisitic parameter
Effect includes: that setting characterisitic parameter first comes into force and threshold value or first comes into force section, is come into force when the characterisitic parameter is more than or equal to first
Threshold value or positioned at first come into force in section when, then determine that the screening interference value is effective；When the characterisitic parameter is raw less than first
Effect threshold value or positioned at first come into force outside section when, then determine that the screening interference value is invalid.
9. determination method according to claim 7, which is characterized in that matching decision maker in step 3 includes matching module
And determination module；
Identification person's pattern data and reference pattern data are matched by the matching module, obtains similarity；
The characterisitic parameter of the similarity and the detection screening plant transmission is received by the determination module, further,
Determine whether true and false interference value is effective by the characterisitic parameter, and then mark figure is determined by the true and false interference value and similarity
Case.
10. determination method according to claim 9, which is characterized in that described to determine true and false interference value by characterisitic parameter
It whether effectively include: that setting characterisitic parameter second comes into force and threshold value or second comes into force section, when the characterisitic parameter is more than or equal to the
Two come into force threshold value or positioned at second come into force in section when, then determine that the true and false interference value is effective；When the characterisitic parameter is less than
Second come into force threshold value or positioned at second come into force outside section when, then determine that the screening interference value is invalid.
11. determination method according to claim 9 or 10, which is characterized in that pass through the true and false interference value and similarity
Determine that identification pattern includes:
Default false mark similarity upper limit value；
It is low similarity state when the similarity is less than false mark similarity upper limit value, when low similarity state, when described true
Pseudo- interference value be it is invalid, then determine that the identification pattern of identification person's shooting is false；When the true and false interference value be it is effective, then do not do and sentence
It is fixed.
12. determination method according to claim 11, which is characterized in that further comprise:
The safe decision content of the similarity is preset, the safe decision content is greater than the false mark similarity upper limit value；
When the similarity is more than or equal to the safe decision content, determine that the identification pattern of identification person's shooting is true；When described
When similarity is more than or equal to the false mark similarity upper limit value and is less than the safe decision content, does not do and determine.
13. determination method according to claim 12, which is characterized in that do not do when determining, feed back to identification person and retake and mention
Show information or can not judge information.
14. determination method according to claim 6, which is characterized in that in the step 2: identification person's pattern data extracts
After device receives the identification pattern of identification person's shooting, image preprocessing is carried out to it, obtains pretreated identification person's pattern numbers
According to.
15. determination method according to claim 6, which is characterized in that reference pattern is the identification pattern for including coding, is known
It is by identification pattern of the mobile terminal shooting comprising coding that other person, which shoots identification pattern,.
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