CN107330479A - Printed matter recognition methods and device - Google Patents
Printed matter recognition methods and device Download PDFInfo
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- CN107330479A CN107330479A CN201710473184.7A CN201710473184A CN107330479A CN 107330479 A CN107330479 A CN 107330479A CN 201710473184 A CN201710473184 A CN 201710473184A CN 107330479 A CN107330479 A CN 107330479A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/19—Recognition using electronic means
- G06V30/196—Recognition using electronic means using sequential comparisons of the image signals with a plurality of references
- G06V30/1983—Syntactic or structural pattern recognition, e.g. symbolic string recognition
- G06V30/1988—Graph matching
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Abstract
The invention provides a kind of printed matter recognition methods and device, methods described includes：The standard deviation alienation feature on printed matter to be detected is obtained respectively, and the standard deviation alienation feature refers in the range of same breed printed matter, the distinguishing characteristics on every printed matter between the marker of predicted elemental and the kind printed matter；Data processing is carried out to the standard deviation alienation feature got, to obtain non-standard variance data；The unique features on the printed matter to be detected are obtained, the corresponding differences between samples data of unique features described in local false proof table are inquired about according to the unique features, and judge whether the differences between samples data are identical with the non-standard variance data；If so, then judging the printed matter to be detected as genuine piece, identification range of the present invention is wide and by using the mode for obtaining the standard deviation alienation feature, so as to carry out truth identification to the printed matter to be detected, recognition efficiency is high and precision is high.
Description
Technical field
The present invention relates to printed matter technical field, more particularly to a kind of printed matter recognition methods and device.
Background technology
Printed matter is the various products of printing, is the general name of the various finished products produced using printing technology.In daily life
In, newspaper that people are touched, books and periodicals magazine, map, poster, advertisement, envelope, writing pad, file pouch, trade mark, label, name
Piece, invitation card, banknote, greeting card, desk calendar, wall calendar, picture album, various cards, packing box, gift box, circuit board and banknote etc., are belonged to
The category of printed matter.Printed matter is almost full among the clothing in people, food, shelter, row field, and it lives very close with people,
Therefore the truth identification of printed matter is increasingly paid attention to by people.
The means that existing printed matter recognition methods is used are based primarily upon stock manufacture, standard in printing process and are total to
Know feature and carry out truth identification, such as RMB is based on its watermark, safety line, photochromatic printing ink, flat stamping, gravure, convex print, magnetic point
The common feature that cloth etc. standardizes standard of the common feature in terms of vision, the sense of hearing, tactile carries out truth identification.
Existing printed matter recognition methods is manually identified due to relying primarily on, therefore recognition efficiency is low, and existing
Printed matter printing process in can be due to the shadow such as stock manufacture, the differentiation of the front and rear process of printing stage and environmental factor
Ring, and then cause printed matter to produce the difference of some nonstandardized techniques, and the difference of these nonstandardized techniques can cause similar printing
There are some differentiation features between product difference simple interest, when carrying out the identification of printed matter, these differentiation features are easily being entered
Recognition result is influenceed during row standardization common feature identification, and then it is inaccurate to be easily caused the recognition result of printed matter.
The content of the invention
Based on this, the mesh of the embodiment of the present invention be to provide a kind of printed matter recognition methods based on nonstandardized technique difference and
Device.
A kind of printed matter recognition methods, methods described includes：
The standard deviation alienation feature on printed matter to be detected is obtained respectively, and the standard deviation alienation feature refers to same
In the range of one kind printed matter, the difference on every printed matter between the marker of predicted elemental and the kind printed matter
Feature；
Data processing is carried out to the standard deviation alienation feature got, to obtain non-standard variance data；
The unique features on the printed matter to be detected are obtained, are inquired about according to the unique features described in local false proof table
The corresponding differences between samples data of unique features, and judge the differences between samples data and the non-standard variance data whether phase
Together；
If so, then judging the printed matter to be detected as genuine piece.
Above-mentioned printed matter recognition methods, by obtaining respectively after the standard deviation alienation feature, to the standard deviation
Alienation feature carries out the data processing, to obtain the non-standard variance data, is inquired about by obtaining after the unique features
To the differences between samples data, and by judging whether the differences between samples data are identical with the non-standard variance data, with
Judge the true and false of the printed matter to be detected, the printed matter recognition methods identification range is wide, by using based on described nonstandard
The mode of quasi- differentiation feature, so that the identification precision and automaticity that improve printed matter are high, without using artificial knowledge
It is identified otherwise, and then improves recognition efficiency and reduce personnel cost.
Further, before the standard deviation alienation feature obtained respectively on printed matter to be detected, methods described is also
Including：
Qualified printed matter is inquired about, and obtains the non-standard differences between samples feature on the qualified printed matter respectively, and to institute
State non-standard differences between samples feature and carry out the data processing, to obtain the differences between samples data；
Obtain the unique features on the qualified printed matter, and by the unique features and the differences between samples data
Corresponding relation stored, to obtain the false proof table.
Further, it is described obtain respectively on printed matter to be detected standard deviation alienation feature the step of using it is following away from
From one or more combinations in set, the distance set includes：
Obtain graph image, figure line, numeral, letter or picture and text element on the printed matter to be detected on the substrate
Coordinate position and spacing；
Obtain the spacing of the safety line coordinate position and predicted elemental on the stock on the printed matter to be detected；
The opened window safety line obtained on the printed matter to be detected shows length on the stock；
Obtain picture and text, graph image, numeral or the lines member in the opened window safety line on the printed matter to be detected
Element arrives the distance on the opened window safety line border；
Obtain the coordinate bit that the sub-line of the opened window safety line on the printed matter to be detected is distributed on the stock
Put；
Obtain and buried entirely on the coordinate position and the stock of safety line between predicted elemental on the printed matter to be detected
Spacing；
Obtain full picture and text, graph image, numeral or the lines element buried in safety line on the printed matter to be detected
Coordinate position and the stock on predicted elemental spacing；
Obtain picture and text, graph image, numeral or the line in the holographic labeling or holographic pad pasting on the printed matter to be detected
The spacing of the coordinate position of road element and predicted elemental on the stock.
Further, it is described obtain respectively on printed matter to be detected standard deviation alienation feature the step of also using following
One or more combinations in sensing set, the sensing set includes：
Obtain the ink spectra on the printed matter to be detected；
Obtain magnetic ink magnetic induction value on the printed matter to be detected, fluorescent ink fluorescent value, infrared absorbance values；
Obtain stock texture or lines on the printed matter to be detected；
Obtain distributing position, color or the quantity of fiber on the printed matter to be detected.
Further, the unique features obtained on the printed matter to be detected, and being inquired about according to the unique features
The step of corresponding differences between samples data of unique features described in local false proof table, includes：
Product coding, numbering, crown word number or the certificate alias on the printed matter to be detected are obtained, and obtains described to be detected
The kind to be detected of printed matter；
The kind to be detected according to getting inquires about the corresponding sample of unique features described in the anti-counterfeiting label
Variance data.
A kind of printed matter identifying device, including：
First acquisition module, it is described non-standard for obtaining the standard deviation alienation feature on printed matter to be detected respectively
Differentiation feature refers in the range of same kind printed matter, the mark of predicted elemental and the kind printed matter on every printed matter
Distinguishing characteristics between quasi- object of reference；
Processing module, for the acquisition result according to first acquisition module, to the non-standard difference got
Change feature and carry out data processing, to obtain non-standard variance data；
Second acquisition module, for obtaining the unique features on the printed matter to be detected, is looked into according to the unique features
Ask the corresponding differences between samples data of unique features described in local false proof table, and judge the differences between samples data with it is described nonstandard
Whether quasi- variance data is identical, if so, then judging the printed matter to be detected as genuine piece.
Above-mentioned printed matter identifying device, by the design of first acquisition module, so that automatic to the print to be detected
Multiple standard deviation alienation features on brush product are obtained, by the design of the processing module, so that by described
The standard deviation alienation feature that one acquisition module is got is converted into the non-standard variance data, is obtained by described second
The design of modulus block, when getting the unique features automatically, inquires about the corresponding differences between samples data of the unique features,
And judge whether the differences between samples data are identical with the non-standard variance data, so as to complete the printed matter to be detected
Identification process, the printed matter identifying device identification range is wide, by using the mode based on the standard deviation alienation feature,
So that the identification precision and automaticity that improve printed matter are high, without being identified by the way of manual identified, enter
And improve recognition efficiency and reduce personnel cost.
Further, the printed matter identifying device also includes：
3rd acquisition module, inquires about qualified printed matter, and obtain the non-standard sample difference on the qualified printed matter respectively
Different feature, and the data processing is carried out to the non-standard differences between samples feature, to obtain the differences between samples data；
4th acquisition module, for obtaining the unique features on the qualified printed matter, and by the unique features
Stored with the corresponding relation of the differences between samples data, to obtain the false proof table.
Further, first acquisition module includes：
First sub-acquisition module, for obtain the graph image on the printed matter to be detected, figure line, numeral, letter or
Picture and text element coordinate position on the substrate and spacing, or obtain safety line coordinate position on the printed matter to be detected with
Opened window safety line in the spacing of predicted elemental on the stock, or the acquisition printed matter to be detected is on the stock
Show length, or obtain picture and text, graph image, numeral or the line in the opened window safety line on the printed matter to be detected
Road element or obtains the sub-line of the opened window safety line on the printed matter to be detected to the distance on the opened window safety line border
The coordinate position being distributed on the stock, or obtain full coordinate position and the institute for burying safety line on the printed matter to be detected
State the spacing between predicted elemental on stock, or obtain the full picture and text buried in safety line on the printed matter to be detected,
The spacing of the coordinate position of graph image, numeral or lines element and predicted elemental on the stock, first son is obtained
Module is obtained using the acquisition modes of one or more combinations.
Further, first acquisition module also includes：
Second sub-acquisition module, for obtaining the ink spectra on the printed matter to be detected, or is obtained described to be detected
Magnetic ink magnetic induction value on printed matter, fluorescent ink fluorescent value, infrared absorbance values, or obtain on the printed matter to be detected
Stock texture or lines, or obtain distributing position, color or the quantity of fiber on the printed matter to be detected, second son
Acquisition module is obtained using the acquisition modes of one or more combinations.
Further, second acquisition module includes：
3rd sub-acquisition module, it is other for obtaining product coding, numbering, crown word number or certificate on the printed matter to be detected
Number, and obtain the kind to be detected of the printed matter to be detected；
Enquiry module, for the acquisition result according to the 3rd sub-acquisition module, is inquired about described in the anti-counterfeiting label only
The corresponding differences between samples data of one feature.
Brief description of the drawings
The flow chart for the printed matter recognition methods that Fig. 1 provides for first embodiment of the invention；
The flow chart for the printed matter recognition methods that Fig. 2 provides for second embodiment of the invention；
The acquisition structural representation of the standard deviation alienation feature for the banknote that Fig. 3 provides for second embodiment of the invention；
The structural representation for the printed matter identifying device that Fig. 4 provides for third embodiment of the invention；
The structural representation for the printed matter identifying device that Fig. 5 provides for fourth embodiment of the invention；
Essential element symbol description
Embodiment
For the ease of more fully understanding the present invention, the present invention is carried out further below in conjunction with related embodiment accompanying drawing
Explain.Embodiments of the invention are given in accompanying drawing, but the present invention is not limited in above-mentioned preferred embodiment.It is opposite there is provided
The purpose of these embodiments be in order that disclosure of the invention face more fully.
Referring to Fig. 1, the flow chart of the printed matter recognition methods provided for first embodiment of the invention, including step S10
To S30.
Step S10, obtains the standard deviation alienation feature on printed matter to be detected respectively；
Wherein, the standard deviation alienation feature refers in the range of same kind printed matter, is preset on every printed matter
Distinguishing characteristics between the marker of element and the kind printed matter, the kind include newspaper, books and periodicals magazine,
It is figure, poster, advertisement, envelope, writing pad, file pouch, trade mark, label, business card, invitation card, banknote, greeting card, desk calendar, wall calendar, picture album, each
Card, packing box, gift box, circuit board and banknote etc. are planted, the mode that the standard deviation alienation feature is produced is due to print
Non-standard difference caused by the influence such as the manufacture of stock, the differentiation of the front and rear process of printing stage and environmental factor in journey,
It is not that default standardization common feature is known, the standard deviation alienation feature can not be kept away in the manufacturing process of printed matter
Exempt from, the predicted elemental can be with arbitrary image, figure, word, digital or other data；
Step S20, carries out data processing, to obtain standard deviation heteromerism to the standard deviation alienation feature got
According to；
Wherein, the data processing includes the modes such as range measurement, spectral detection, image detection and coordinate measurement, described
Non-standard variance data includes numerical data, lteral data, view data or spectroscopic data etc.；
Step S30, obtains the unique features on the printed matter to be detected, inquires about local false proof according to the unique features
The corresponding differences between samples data of unique features described in table, and judge the differences between samples data and the non-standard variance data
It is whether identical；
Wherein, the unique features are the exclusive feature of every printed matter, the unique features include product coding,
Numbering, number, crown word number, kind or certificate the major key information such as not.
The present embodiment is using the standard deviation alienation feature on the printed matter, before printed matter circulation,
The standard deviation alienation feature of these products is converted into can quantify, the information easily distinguished is stored, and be allowed to and institute
State unique mark on printed matter to associate, form one-to-one relationship.User can be by all kinds of terminal devices, such as mobile phone etc.
Truth identification equipment, carries out product feature collection to the printed matter, the institute of the printed matter is recognized from the information collected
Standard deviation alienation feature is stated, and is compared and compares with the information prestored, truth identification is finally realized.
The printed matter recognition methods of the present embodiment, by obtaining respectively after the standard deviation alienation feature, to described non-
Standard deviation alienation feature carries out the data processing, to obtain the non-standard variance data, by obtaining the unique features
After inquire the differences between samples data, and by judge the differences between samples data and the non-standard variance data whether phase
Together, to judge the true and false of the printed matter to be detected, the printed matter recognition methods identification range is wide, by using based on described
The mode of standard deviation alienation feature, so that the identification precision and automaticity that improve printed matter are high, without using people
Work is known to be identified otherwise, and then is improved recognition efficiency and reduced personnel cost.
Referring to Fig. 2, the flow chart of the printed matter recognition methods provided for second embodiment of the invention, methods described includes
Step S11 to S71.
Step S11, inquires about qualified printed matter, and it is special to obtain the non-standard differences between samples on the qualified printed matter respectively
Levy, and the data processing is carried out to the non-standard differences between samples feature；
Wherein, the step of inquiring about the printed matter is when printed matter is printed or after being completed for printing, by described
Non-standard differences between samples feature carries out the data processing, to obtain the differences between samples data, the data processing include away from
From modes such as measurement, spectral detection, image detection and coordinate measurements, the non-standard variance data includes numerical data, word
Data, view data or spectroscopic data etc.；
Step S21, obtains the unique features on the qualified printed matter, and by the unique features and the sample
The corresponding relation of variance data is stored；
Wherein, by the way that the corresponding relation is stored to obtain the false proof table, the unique features include product
Coding, numbering, number, crown word number, kind or certificate the major key information such as not；
Step S31, obtains the standard deviation alienation feature on printed matter to be detected respectively；
Wherein, the standard deviation alienation feature refers in the range of same kind printed matter, is preset on every printed matter
Distinguishing characteristics between the marker of element and the kind printed matter, the kind include newspaper, books and periodicals magazine,
It is figure, poster, advertisement, envelope, writing pad, file pouch, trade mark, label, business card, invitation card, banknote, greeting card, desk calendar, wall calendar, picture album, each
Plant card, packing box, gift box, circuit board and banknote etc.；
In the printing process of printed matter, due to stock manufacture, the differentiation of the front and rear process of printing stage and environment
Factor etc. is influenceed, and the position of the printing elements such as some images, figure or word on printed matter can be caused to change, therefore institute
Stating in step S31 can use the acquisition modes of one or more combinations in following distance sets to be obtained, the distance
Set includes：
Obtain graph image, figure line, numeral, letter or picture and text element on the printed matter to be detected on the substrate
Coordinate position and spacing；
Obtain the spacing of the safety line coordinate position and predicted elemental on the stock on the printed matter to be detected；
The opened window safety line obtained on the printed matter to be detected shows length on the stock；
Obtain picture and text, graph image, numeral or the lines member in the opened window safety line on the printed matter to be detected
Element arrives the distance on the opened window safety line border；
Obtain the coordinate bit that the sub-line of the opened window safety line on the printed matter to be detected is distributed on the stock
Put；
Obtain and buried entirely on the coordinate position and the stock of safety line between predicted elemental on the printed matter to be detected
Spacing；
Obtain full picture and text, graph image, numeral or the lines element buried in safety line on the printed matter to be detected
Coordinate position and the stock on predicted elemental spacing；
Obtain picture and text, graph image, numeral or the line in the holographic labeling or holographic pad pasting on the printed matter to be detected
The spacing of the coordinate position of road element and predicted elemental on the stock；
In the printing process of printed matter, due to the ink in every printing paper, fluorescent ink, texture or lines not
Together, therefore in the step S31 it can also be obtained using the acquisition modes of one or more combinations in following sensing set
Take, it is described to include away from sensing conjunction：
Obtain the ink spectra on the printed matter to be detected；
Obtain magnetic ink magnetic induction value on the printed matter to be detected, fluorescent ink fluorescent value, infrared absorbance values；
Obtain stock texture or lines on the printed matter to be detected；
Obtain distributing position, color or the quantity of fiber on the printed matter to be detected；
Other singleton printed matters stock in Conventional process on the printed matter to be detected is obtained to manufacture；
Obtain the different characteristic in the printing process production margin of tolerance on the printed matter to be detected；
Obtain on the printed matter to be detected for ease of production, manufacturer, the personal production margin of tolerance specially set
Interior different characteristic；
Step S41, the different types of standard deviation alienation feature got is respectively calculated, encrypted or become
The mode changed is to obtain the corresponding non-standard variance data of the standard deviation alienation feature；
Wherein, the non-standard variance data includes numerical data, lteral data, view data or spectroscopic data etc.；
Step S51, obtains product coding, numbering, crown word number or the certificate alias on the printed matter to be detected, and obtain institute
State the kind to be detected of printed matter to be detected；
Step S61, inquires about unique features described in the anti-counterfeiting label corresponding according to the kind to be detected got
The differences between samples data；
Step S71, judges whether the differences between samples data are identical with the non-standard variance data；
If so, the printed matter to be detected is then judged as genuine piece, if it is not, then judging the printed matter to be detected as false product.
The printed matter recognition methods can be widely with the truth identification with banknote：
Referring to Fig. 3, for example before banknote formally circulates, collection bill crown word number 64, safety line 60 and the banknote
The distance between serial number 64, safety line windowing 61 every segment length, the safety line windowing 61 in safe picture and text 62 and
The information such as the distance of the safety line windowing 61, and with banknote version, banknote denomination 63,64 3 spies of the bill crown word number
Property as every banknote identification major key, the information gathered with banknote pattern and the above sets up one-to-one relationship, stores to original
In beginning record storehouse；
When carrying out the identification of banknote, by carrying out image recognition to banknote to be detected, obtain banknote version to be detected, treat
Detection banknote denomination, three information of serial number to be detected simultaneously calculate the safety line to be detected on the banknote to be detected with treating
Detect to be detected in the distance, the length of safety line to be detected windowing, the safety line windowing to be detected of bill crown word number
Safe picture and text and the distance on the safety line windowing border to be detected, out information identified above is carried out with acquired original information
Compare, to judge whether the banknote to be detected is genuine notes.
The present embodiment when necessary, can obtain the unique features on the banknote to be detected from original record
The image that do not circulate of corresponding banknote, so that user carries out artificial judgment, and then to know the various words of method for distinguishing.
The printed matter recognition methods of the present embodiment, by obtaining respectively after the standard deviation alienation feature, to described non-
Standard deviation alienation feature carries out the data processing, to obtain the non-standard variance data, by obtaining the unique features
After inquire the differences between samples data, and by judge the differences between samples data and the non-standard variance data whether phase
Together, to judge the true and false of the printed matter to be detected, the printed matter recognition methods identification range is wide, by using based on described
The mode of standard deviation alienation feature, so that the identification precision and automaticity that improve printed matter are high, without using people
Work is known to be identified otherwise, and then is improved recognition efficiency and reduced personnel cost.
Referring to Fig. 4, the structural representation of the printed matter identifying device 100 provided for third embodiment of the invention, described
Printed matter identifying device 100 includes：
First acquisition module 10, it is described nonstandard for obtaining the standard deviation alienation feature on printed matter to be detected respectively
Quasi- differentiation feature refers in the range of same kind printed matter, predicted elemental and the kind printed matter on every printed matter
Distinguishing characteristics between marker, the kind include newspaper, books and periodicals magazine, map, poster, advertisement, envelope, writing pad,
File pouch, trade mark, label, business card, invitation card, banknote, greeting card, desk calendar, wall calendar, picture album, various cards, packing box, gift box, circuit
Plate and banknote etc..
Processing module 30, it is described non-standard to what is got for the acquisition result according to first acquisition module 10
Differentiation feature carries out data processing, and to obtain non-standard variance data, the data processing includes range measurement, spectrum and examined
The modes such as survey, image detection and coordinate measurement, the non-standard variance data includes numerical data, lteral data, view data
Or spectroscopic data etc.；
Second acquisition module 20, for obtaining the unique features on the printed matter to be detected, according to the unique features
The corresponding differences between samples data of unique features described in the local false proof table of inquiry, and judge the differences between samples data with it is described non-
Whether standard difference data are identical, if so, then judging the printed matter to be detected as genuine piece, the unique features are described in every
The exclusive feature of printed matter, the unique features include product coding, numbering, number, crown word number, kind or certificate the major key letter such as not
Breath.
The printed matter identifying device also includes：
3rd acquisition module 40, inquires about qualified printed matter, and obtain the non-standard sample on the qualified printed matter respectively
Difference characteristic, and the data processing is carried out to the non-standard differences between samples feature, to obtain the differences between samples data；
4th acquisition module 50, for obtaining the unique features on the qualified printed matter, and by unique spy
The corresponding relation levied with the differences between samples data is stored, to obtain the false proof table.
First acquisition module 10 includes：
First sub-acquisition module 11, for obtaining graph image, figure line, numeral, letter on the printed matter to be detected
Or picture and text element coordinate position on the substrate and spacing, or obtain the safety line coordinate position on the printed matter to be detected
With the opened window safety line in the spacing of predicted elemental on the stock, or the acquisition printed matter to be detected in the stock
On show length, or obtain picture and text in the opened window safety line on the printed matter to be detected, graph image, numeral or
Lines element or obtains the son of the opened window safety line on the printed matter to be detected to the distance on the opened window safety line border
The coordinate position that line is distributed on the stock, or obtain on the printed matter to be detected the full coordinate position for burying safety line with
Spacing on the stock between predicted elemental, or obtain the full figure buried in safety line on the printed matter to be detected
Text, graph image, the spacing of the coordinate position of numeral or lines element and predicted elemental on the stock, first son are obtained
Modulus block 11 is obtained using the acquisition modes of one or more combinations.
Second acquisition module 20 includes：
3rd sub-acquisition module 21, for obtaining product coding, numbering, crown word number or certificate on the printed matter to be detected
Alias, and obtain the kind to be detected of the printed matter to be detected；
Enquiry module 22, for the acquisition result according to the 3rd sub-acquisition module 21, inquires about institute in the anti-counterfeiting label
State the corresponding differences between samples data of unique features.
The use flow of the printed matter identifying device 100 is as follows：
Step 1: determining the standard deviation alienation feature：The differentiation feature in every singleton on certain printed matter is determined,
Such as flat stamping figure line (blue shading) on every banknote and gravure figure line (brown figure line) position are simultaneously differed, and are existed on coordinate
Difference, windowing metallic airbag line (anti-counterfeiting line) position of such as certain printed matter is simultaneously differed, i.e., the windowing of every printed matter
The distance of other figure lines is different on metallic airbag line to the printed matter, such as it is (false proof that complete on certain printed matter buries safety line
Line) position and differ, such as certain category printed matter is in stock manufacturing process, and raw material add anti-false fiber, false proof fibre
Dimension random distribution on the stock of every singleton printed matter.
Step 2: setting up storage model：The standard deviation alienation feature established according to step one, it is determined that creating institute
The thesaurus of flat stamping figure line and the gravure figure line is stated, and the flat stamping figure line and the gravure figure are gathered in IMAQ mode
Image between line.
Step 3: printed matter differentiation characteristic information is gathered：Before above-mentioned printed matter formally circulation, collection print per singleton
The standard deviation alienation feature on brush product finished product, and the standard deviation alienation feature is identified, is quantified and information
Change.
Step 4: printed matter differentiation characteristic information is stored：The standard deviation alienation gathered in step one is special
Levy the information such as product unique mark coding and kind, classification, subject with above-mentioned singleton printed matter to be associated, believe so as to be formed
Breath entry A is simultaneously stored in information bank.
Step 5: printed matter differentiation characteristic information is retrieved：Product to be identified are detected, the print to be identified is identified
The unique mark coding of brush product, recognizes, calculates the non-standard variance data of the printed matter to be identified, form information bar
Mesh B, using the information such as the identification code and kind, classification, subject as querying condition, is retrieved in information bank described from step 2
The differentiation characteristic information entry A of singleton printed matter.
Step 6: printed matter differentiation characteristic information is compared：By institute's retrieved message bar in data entries B and step 5
Mesh A compares.
Step 7: printed matter truth identification：By the comparison result of step 6, the true and false of the printed matter to be identified is drawn
As a result.
The present embodiment is by the design of first acquisition module 10, so that automatic to many on the printed matter to be detected
The individual standard deviation alienation feature is obtained, by the design of the processing module 30, so as to obtain mould by described first
The standard deviation alienation feature that block 10 is got is converted into the non-standard variance data, passes through second acquisition module
20 design, when getting the unique features automatically, inquires about the corresponding differences between samples data of the unique features, and sentence
Whether the differences between samples data of breaking are identical with the non-standard variance data, so as to complete the identification of the printed matter to be detected
Flow, the printed matter identifying device identification range is wide, by using the mode based on the standard deviation alienation feature, so that
The identification precision and automaticity for improving printed matter are high, without being identified by the way of manual identified, Jin Erti
High recognition efficiency and reduce personnel cost.
Referring to Fig. 5, the printed matter identifying device 100a provided for fourth embodiment of the invention structural representation, this
The structure of four embodiments and 3rd embodiment is more or less the same, and its difference is, the first acquisition module 10a described in the present embodiment is also
Including：
Second sub-acquisition module 12, for obtaining the ink spectra on the printed matter to be detected, or is obtained described to be checked
Magnetic ink magnetic induction value, fluorescent ink fluorescent value on survey printed matter, infrared absorbance values, or obtain the printed matter to be detected
Upper stock texture or lines, or obtain distributing position, color or the quantity of fiber on the printed matter to be detected, described second
Sub-acquisition module 12 is obtained using the acquisition modes of one or more combinations.
The present embodiment is increased the first acquisition module 10a and obtained by the design of second sub-acquisition module 12
The diversity of mode, and further increase the identification precision of the printed matter identifying device 100a.
The standard deviation alienation feature of the present embodiment based on printed matter carries out truth identification degree of accuracy height and uses model
Enclose wide, improve the false proof and truth identification effect of printed matter, enrich, expanded the truth identification flow of printed matter.
Can be with one of ordinary skill in the art will appreciate that realizing that all or part of step in above-described embodiment method is
The hardware of correlation is instructed to complete by program, described program can be stored in a computer read/write memory medium,
The program upon execution, comprises the following steps：
The standard deviation alienation feature on printed matter to be detected is obtained respectively, and the standard deviation alienation feature refers in phase
In the range of kind printed matter, the difference on every printed matter between the marker of predicted elemental and the kind printed matter
Feature；
Data processing is carried out to the standard deviation alienation feature got, to obtain non-standard variance data；
The unique features on the printed matter to be detected are obtained, are inquired about according to the unique features described in local false proof table
The corresponding differences between samples data of unique features, and judge the differences between samples data and the non-standard variance data whether phase
Together；
If so, then judging the printed matter to be detected as genuine piece.Described storage medium, such as：ROM/RAM, magnetic disc, CD
Deng.
Above embodiment described the technical principle of the present invention, the description is merely to explain the principles of the invention, and
The limitation of the scope of the present invention can not be construed in any way.Based on explanation herein, those skilled in the art is not required to
Other embodiments of the present invention can be associated by paying performing creative labour, and these modes fall within the present invention's
In protection domain.
Claims (10)
1. a kind of printed matter recognition methods, it is characterised in that methods described includes：
The standard deviation alienation feature on printed matter to be detected is obtained respectively, and the standard deviation alienation feature refers in identical product
Plant in the range of printed matter, the difference on every printed matter between the marker of predicted elemental and the kind printed matter is special
Levy；
Data processing is carried out to the standard deviation alienation feature got, to obtain non-standard variance data；
The unique features on the printed matter to be detected are obtained, inquire about unique described in local false proof table according to the unique features
The corresponding differences between samples data of feature, and judge whether the differences between samples data are identical with the non-standard variance data；
If so, then judging the printed matter to be detected as genuine piece.
2. printed matter recognition methods according to claim 1, it is characterised in that described to obtain respectively on printed matter to be detected
Standard deviation alienation feature before, methods described also includes：
Qualified printed matter is inquired about, and obtains the non-standard differences between samples feature on the qualified printed matter respectively, and to described non-
Master sample difference characteristic carries out the data processing, to obtain the differences between samples data；
Obtain the unique features on the qualified printed matter, and by the unique features and pair of the differences between samples data
It should be related to and be stored, to obtain the false proof table.
3. printed matter recognition methods according to claim 1, it is characterised in that described to obtain respectively on printed matter to be detected
Standard deviation alienation feature the step of using one or more combinations in following distance sets, the distance set bag
Include：
Obtain graph image, figure line, numeral, the coordinate of letter or picture and text element on the substrate on the printed matter to be detected
Position and spacing；
Obtain the spacing of the safety line coordinate position and predicted elemental on the stock on the printed matter to be detected；
The opened window safety line obtained on the printed matter to be detected shows length on the stock；
The picture and text in the opened window safety line on the printed matter to be detected, graph image, numeral or lines element is obtained to arrive
The distance on the opened window safety line border；
Obtain the coordinate position that the sub-line of the opened window safety line on the printed matter to be detected is distributed on the stock；
Obtain on the printed matter to be detected between complete bury on the coordinate position and the stock of safety line between predicted elemental
Away from；
Obtain the seat of the full picture and text buried in safety line on the printed matter to be detected, graph image, numeral or lines element
Cursor position and the spacing of predicted elemental on the stock；
Obtain the holographic labeling on the printed matter to be detected or the picture and text in holographic pad pasting, graph image, numeral or lines member
The spacing of the coordinate position of element and predicted elemental on the stock.
4. printed matter recognition methods according to claim 3, it is characterised in that described to obtain respectively on printed matter to be detected
Standard deviation alienation feature the step of also using it is following sensing set in one or more combinations, the sensing set bag
Include：
Obtain the ink spectra on the printed matter to be detected；
Obtain magnetic ink magnetic induction value on the printed matter to be detected, fluorescent ink fluorescent value, infrared absorbance values；
Obtain stock texture or lines on the printed matter to be detected；
Obtain distributing position, color or the quantity of fiber on the printed matter to be detected.
5. printed matter recognition methods according to claim 1, it is characterised in that on the acquisition printed matter to be detected
Unique features, and inquire about the corresponding differences between samples data of unique features described in local false proof table according to the unique features
Step includes：
Product coding, numbering, crown word number or the certificate alias on the printed matter to be detected are obtained, and obtains the printing to be detected
The kind to be detected of product；
The kind to be detected according to getting inquires about the corresponding differences between samples of unique features described in the anti-counterfeiting label
Data.
6. a kind of printed matter identifying device, it is characterised in that including：
First acquisition module, for obtaining the standard deviation alienation feature on printed matter to be detected, the non-standard difference respectively
Change feature to refer in the range of same kind printed matter, the standard of predicted elemental and the kind printed matter is joined on every printed matter
According to the distinguishing characteristics between thing；
Processing module, for the acquisition result according to first acquisition module, to the standard deviation alienation spy got
Carry out data processing is levied, to obtain non-standard variance data；
Second acquisition module, for obtaining the unique features on the printed matter to be detected, this is inquired about according to the unique features
The corresponding differences between samples data of unique features described in the false proof table in ground, and judge the differences between samples data and the standard deviation
Whether heteromerism is according to identical, if so, then judging the printed matter to be detected as genuine piece.
7. printed matter identifying device according to claim 6, it is characterised in that the printed matter identifying device also includes：
3rd acquisition module, for inquiring about qualified printed matter, and obtains the non-standard sample difference on the qualified printed matter respectively
Different feature, and the data processing is carried out to the non-standard differences between samples feature, to obtain the differences between samples data；
4th acquisition module, for obtaining the unique features on the qualified printed matter, and by the unique features and institute
The corresponding relation for stating differences between samples data is stored, to obtain the false proof table.
8. printed matter identifying device according to claim 6, it is characterised in that first acquisition module includes：
First sub-acquisition module, for obtaining graph image, figure line, numeral, letter or picture and text on the printed matter to be detected
Element coordinate position on the substrate and spacing, or obtain safety line coordinate position on the printed matter to be detected with it is described
The spacing of predicted elemental on stock, or the opened window safety line obtained on the printed matter to be detected are aobvious on the stock
Existing length, or obtain picture and text, graph image, numeral or lines member in the opened window safety line on the printed matter to be detected
Element arrives the distance on the opened window safety line border, or obtains the sub-line of the opened window safety line on the printed matter to be detected in institute
The coordinate position being distributed on stock is stated, or obtains the full coordinate position for burying safety line on the printed matter to be detected and is held with described
The spacing between predicted elemental on thing is printed, or obtains full picture and text, the figure buried in safety line on the printed matter to be detected
The spacing of the coordinate position of image, numeral or lines element and predicted elemental on the stock, first sub-acquisition module
Obtained using the acquisition modes of one or more combination.
9. printed matter identifying device according to claim 8, it is characterised in that first acquisition module also includes：
Second sub-acquisition module, for obtaining the ink spectra on the printed matter to be detected, or obtains the printing to be detected
Magnetic ink magnetic induction value on product, fluorescent ink fluorescent value, infrared absorbance values, or obtain printing on the printed matter to be detected
Thing texture or lines, or distributing position, color or the quantity of fiber on the printed matter to be detected are obtained, second son is obtained
Module is obtained using the acquisition modes of one or more combinations.
10. printed matter identifying device according to claim 6, it is characterised in that second acquisition module includes：
3rd sub-acquisition module, for obtaining product coding, numbering, crown word number or certificate alias on the printed matter to be detected,
And obtain the kind to be detected of the printed matter to be detected；
Enquiry module, for the acquisition result according to the 3rd sub-acquisition module, inquires about unique special described in the anti-counterfeiting label
Levy the corresponding differences between samples data.
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| CN201710473184.7A CN107330479A (en) | 2017-06-21 | 2017-06-21 | Printed matter recognition methods and device |
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| CN201710473184.7A CN107330479A (en) | 2017-06-21 | 2017-06-21 | Printed matter recognition methods and device |
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| CN113798680A (en) * | 2020-06-15 | 2021-12-17 | 大族激光科技产业集团股份有限公司 | Laser drawing method and laser drawing device |
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Effective date of registration: 20180201 Address after: 100044 Beijing city Xicheng District Xizhimen Street No. 143 Applicant after: China banknote printing and Minting Corporation Applicant after: Nanchang Print Money Co., Ltd. Address before: 330043 Daiyun Road No. 9, Qingyun District, Nanchang, Jiangxi Applicant before: Nanchang Print Money Co., Ltd. |
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Application publication date: 20171107 |