CN103903039A - Hidden code holographic anti-counterfeiting film and manufacturing method and recognition system thereof - Google Patents

Hidden code holographic anti-counterfeiting film and manufacturing method and recognition system thereof Download PDF

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CN103903039A
CN103903039A CN201410117589.3A CN201410117589A CN103903039A CN 103903039 A CN103903039 A CN 103903039A CN 201410117589 A CN201410117589 A CN 201410117589A CN 103903039 A CN103903039 A CN 103903039A
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hidden
code
counterfeiting
hidden code
image
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CN103903039B (en
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宋广为
王笑冰
潘锋
俞宏斐
段云飞
詹毅峰
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REFLECTIVE MATERIALS MANUFACTORY Co SZU
Shenzhen University
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REFLECTIVE MATERIALS MANUFACTORY Co SZU
Shenzhen University
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Abstract

The invention relates to the anti-counterfeiting technical field, and particularly discloses a hidden code holographic anti-counterfeiting film. The hidden code holographic anti-counterfeiting film comprises an anti-counterfeiting information layer which comprises a holographic anti-counterfeiting image-text part and a hidden code. The invention further discloses a manufacturing method of the anti-counterfeiting information layer in the anti-counterfeiting film and a device, intelligent terminal equipment, a data server and a recognition system which are used for scanning and recognizing the hidden code holographic anti-counterfeiting film. The hidden code holographic anti-counterfeiting film can be produced by using a mature holographic embossing technology, is low in cost and has dual anti-counterfeiting effects. The hidden code holographic anti-counterfeiting film can be distinguished through the naked eyes by means of the holographic anti-counterfeiting image-text part, and a decoding program of hand-held equipment (such as a smart phone) can also be used for displaying information hidden in the hidden code.

Description

Hidden code holographic anti-counterfeiting film, its method for making and recognition system
Technical field
The present invention relates to field of anti-counterfeit technology, be specifically related to a kind of hidden code holographic anti-counterfeiting film, its method for making, and recognition system.
Background technology
Holographic false proof trade mark contributes to hit counterfeit and shoddy goods, has a wide range of applications, as packaging of various wine goods and other high-grade goods etc.But the holographic anti-counterfeiting film using on market now has experienced development for many years, more and more loses confidence level on structure and anti-counterfeiting power.
In recent years, fast universal along with smart mobile phone, particularly i Phone is fashionable, has realized and has used the open programmable module of smart mobile phone to read coded message on holographic false proof trade mark to show more merchandise news.
Holographic security technology is combined with the coded message that can decode by smart mobile phone, to form the double anti-forge technology of hidden code holographic anti-counterfeiting film, by a direction that is following anti-counterfeiting technology.
Summary of the invention
The present invention is intended to overcome the problems referred to above and the other problems of prior art, holographic security technology is combined with smart mobile phone coding techniques, so that hidden code holographic anti-counterfeiting film and the recognition system with double anti-forge function to be provided.
A first aspect of the present invention provides a kind of hidden code holographic anti-counterfeiting film, comprises anti-counterfeiting information layer, in described anti-counterfeiting information layer containing holographic false proof picture and text, and with the hidden code of described holographic false proof overlap, overlapping and/or apart arrangement.
Described hidden code can be the discrete encoded point of the open programmable interface coding of smart machine being exported by use, and can show hiding Info of described hidden code by the decoding program that uses intelligent terminal.
Described hiding Info can comprise word, image, voice document, video file, or their combination.
Described holographic false proof picture and text can be hologram, bar code, Quick Response Code, or their combination.
It is a kind of for making the method for anti-counterfeiting information layer of hidden code holographic anti-counterfeiting film that a second aspect of the present invention provides, and comprises step: S1, by the programmable interface coding open to smart machine, exports discrete encoded point; S2 by described discrete encoded point together with holographic false proof graphic rendering; S3 utilizes holographic shooting or photoetching technique, makes the photoetching hectograph with hidden code holographic false proof picture and text; S4 utilizes galvanoplastics, makes contour forging nickel version; And S5 utilizes hot pressing reproduction technology, the hidden code holographic false proof picture and text in described contour forging nickel version are stamped on information bearing bed, to form anti-counterfeiting information layer.
A third aspect of the present invention provides a kind of device that scans and identify above-mentioned hidden code holographic anti-counterfeiting film, comprising: Video Capture module, for scanning described hidden code holographic anti-counterfeiting film, completes Video Capture; And hidden code analysis module, carry out image pre-service for the image that Video Capture module scanning hidden code holographic anti-counterfeiting film is obtained, resolve through the hidden code in pretreated image, the hidden pattern that parsing is obtained is sent to a data server by wireless network after encrypting and retrieves and mate.
Described Video Capture module can further scan described hidden code holographic anti-counterfeiting film in the following way, complete Video Capture: (a) select video capturing device, the parameters of definition video capturing device, preview call back function is set, thereby startup video capturing device, and timer is set; (b) described video capturing device focuses once every a setting-up time, and the successfully rear sub-picture of taking of focusing is resolved to hidden code analysis module, and video capturing device stops taking pictures but proceeds Video Capture and focusing; (c) if hidden code analysis module successfully resolved finishes; Otherwise return to execution (b).
Described hidden code analysis module may further include: image pretreatment unit, carry out homomorphic filtering, histogram equalization and Canny operator edge detection for the image that Video Capture module scanning hidden code holographic anti-counterfeiting film is obtained, make outstanding hidden pattern and noise distribution in described image; Hidden pattern analytic unit, for hidden pattern is extracted and is identified from noise, comprise: adopt the hidden pattern denoising that contains noise in image Video Capture module scanning hidden code holographic anti-counterfeiting film being obtained for the Markov random field model of bianry image, use the machine learning method of linear multi-class support vector machine to carry out model training and obtain classification function, 10 radixes that use the hidden code of described classification function identification image, scan to obtain hidden pattern sequence to the image after denoising; Hidden pattern ciphering unit, for encrypting resolving the hidden pattern obtaining, comprising: use personal key algorithm that the character string of described hidden pattern is encrypted.
Described device can also comprise a demonstration execution module, for receiving the Item Information after retrieval and the coupling that described data server returns by wireless network, and described Item Information is shown on a display screen.
A fourth aspect of the present invention provides a kind of intelligent terminal that scans and identify hidden code holographic anti-counterfeiting film of the present invention, described intelligent terminal comprises above-mentioned scanning and identifies the device of hidden code holographic anti-counterfeiting film of the present invention, described intelligent terminal is provided with video capturing device, and described intelligent terminal possesses wireless networking capabilities.
A fifth aspect of the present invention provides a kind of data server that hidden code holographic anti-counterfeiting film of the present invention is retrieved and mated, described data server comprises: database module, for stores service classification code and the Item Information corresponding with described classification of service code; Data service module, be used for receiving by wireless network the hidden pattern of the encryption of certain device or equipment transmission, undertaken deciphering described hidden pattern after error checking and correction by cyclic redundancy check (CRC) code, retrieve the classification of service code in described database module, from classification of service code, match with the coding of described hidden pattern adaptation and obtain the Item Information that coding is corresponding, by wireless network, the object information after retrieval and coupling being fed back to described device or equipment.
A sixth aspect of the present invention provides a kind of system that hidden code holographic anti-counterfeiting film of the present invention is identified, and described system comprises above-mentioned scanning and the intelligent terminal of identification hidden code holographic anti-counterfeiting film and the above-mentioned data server that hidden code holographic anti-counterfeiting film is retrieved and mated; Wherein, described intelligent terminal, for taking the image of described hidden code holographic anti-counterfeiting film, is resolved the hidden pattern in described image, and the hidden pattern that parsing is obtained is sent to described data server by wireless network after encrypting and retrieves and mate; Described data server is used for receiving by wireless network the hidden pattern of the encryption of intelligent terminal transmission, retrieval service classification code from database module, from classification of service code, match with the coding of described hidden pattern adaptation and obtain the Item Information that coding is corresponding, by wireless network, the Item Information after retrieval and coupling being fed back to device or equipment.
Preferably, described wireless network of the present invention can be GPRS or 3G network.
Hidden code holographic anti-counterfeiting film of the present invention has double anti-forge effect, attractive in appearance and to be applicable to the public false proof; Can for example, show by the decoding program of portable equipment (smart mobile phone) information that it is hiding.Can utilize ripe contour forging explained hereafter, cost of manufacture is low.By the hidden code (comprising the hash-coding point hiding Info) generating is at random appended to holographic false proof picture and text, can solve false proof and demand that trace to the source simultaneously, identifying is simple.
Brief description of the drawings
It is multi-form that Figure 1A to Fig. 1 D schematically shows respectively anti-counterfeiting information layer in hidden code holographic anti-counterfeiting film of the present invention.
Fig. 2 A and Fig. 2 B schematically show respectively according to the cross-section structure of hidden code holographic anti-counterfeiting film of the present invention.
Fig. 3 is the fabrication processing figure of the anti-counterfeiting information layer of hidden code holographic anti-counterfeiting film of the present invention.
Fig. 4 schematically shows the system for identifying hidden code holographic anti-counterfeiting film of the present invention.
Reference numeral: base membrane layer 1, information carrier layer 2, anti-counterfeiting information layer 21, high reflection film plating layer 3, hot-fusible pressure-sensitive adhesive layer 41, gum layer 42, release layer 5, holographic false proof picture and text 211, hidden code 212
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in further detail.
The present invention combines holographic security technology with smart mobile phone coding techniques, existing holographic anti-counterfeiting film is upgraded, the discrete encoded point that comprises hidden code is appended to holographic false proof picture and text, and so that hidden code holographic anti-counterfeiting film of the present invention to be provided, this anti false film comprises anti-counterfeiting information layer 21.Information Level 21 is the grating picture and text that form by the hot padding of contour forging nickel version, and it comprises general holographic false proof picture and text 211 and hidden code 212.
First referring to figs. 1A to Fig. 1 D, distinguish the anti-counterfeiting information layer of schematically illustrated four kinds of different arrangement forms.As seen from the figure, holographic false proof picture and text 211 can be hologram, bar code, Quick Response Code etc., and can be also the forms of this several combination.In described anti-counterfeiting information layer 21, comprise holographic false proof picture and text 211 and hidden code 212, hidden code 212 can overlapping, overlapping and/or apart arrangement with holographic false proof picture and text 211.
The light that holographic false proof picture and text 211 can diffraction go out rich color, dynamic change, hyperchannel and multidimensional becomes effect holographic false proof image, can distinguish to have the true and false of dazzling beautiful diffraction light change by naked eyes, is applicable to the public false proof.212 of hidden codes are hidden in anti-counterfeiting information layer 21, and it can be for example discrete encoded point, so, when overlapping with holographic false proof picture and text 211, can not interfere with each other with holographic false proof picture and text 211, also do not affect product attractive in appearance.
This discrete encoded point can be to use the programmable interface coding open to smart machine, the coded message of exporting, and can show that it hides Info by the decoding program of smart machine (such as the Handheld intelligent equipment of smart mobile phone), so realize dual antifalse effect.These hide Info can be for example word, image, voice document, video file etc., or their combination.
With reference to figure 2A and Fig. 2 B, the cross-section structure of two kinds of concrete forms of schematically illustrated hidden code holographic anti-counterfeiting film of the present invention, wherein Fig. 2 A is depicted as the hidden code holographic anti-counterfeiting film of gilding film form; Fig. 2 B is depicted as the hidden code holographic anti-counterfeiting film of composite membrane (or total transfer film) form.
In the time that hidden code holographic anti-counterfeiting film of the present invention is gilding film (Fig. 2 A), it comprises base membrane layer 1, release layer 5, information carrier layer 2, anti-counterfeiting information layer 21, film plating layer 3 and hot-fusible pressure-sensitive adhesive layer 41 from bottom to top successively.
Base membrane layer 1 is the carrier of coating, can adopt plastic sheeting as base membrane layer.Other coatings are attached on base membrane layer 1 equably.Release layer 5 is attached on base membrane layer 1, and its raw material adopts fusing point at the wax of 80-90 DEG C conventionally.Release layer 5 plays dissociation in the use of gilding film.
Information carrier layer 2, for carrying holographic information, is transferred on base membrane layer 1 and is dried through coating apparatus by coating fluid, forms information carrier layer 2.Can anti-counterfeiting information layer 21 be transferred on information carrier layer 2 by hot press printing technology.
High reflection film plating layer 3 is attached on anti-counterfeiting information layer 21, it typically is metal or the medium with highly reflective energy, and can form by the method for vacuum evaporation.The existence of film plating layer 3 can improve the brightness of holographic film, conveniently utilizes reflected light directly to observe holographic false proof figure.Hot-fusible pressure-sensitive adhesive layer 4 is outermost one deck of this hidden code holographic false proof gilding film, and it act as and in the time that product uses, adheres to stock surface.
In the time that hidden code holographic anti-counterfeiting film of the present invention is composite membrane (or total transfer film) (Fig. 2 B), it comprises base membrane layer 1, information carrier layer 2, Information Level 21, high reflection film plating layer 3 and gum layer 42 from bottom to top successively.From Fig. 2 B, hidden code holographic false proof composite membrane of the present invention (or total transfer film) is similar with the gilding film shown in Fig. 2 A, but does not comprise release layer, and in the time being composite membrane, base membrane layer 1 does not in use separate; And when for total transfer film, base membrane layer 1 separates in the process of composite transferring, and can recycling.
Hidden code holographic anti-counterfeiting film of the present invention can utilize ripe contour forging technique to produce substantially, and cost is lower.Feature of the present invention is the making of anti-counterfeiting information layer wherein.With reference to figure 3, the technological process of the anti-counterfeiting information layer for making this hidden code holographic anti-counterfeiting film is shown.As seen from the figure, method for making mainly comprises following step:
First at step S1, the programmable interface coding of opening by smart mobile phone, output invisible coding, for example discrete encoded point.Afterwards at step S2, by described hidden code (discrete encoded point) together with holographic false proof graphic rendering; And in step S3, utilize holographic shooting or photoetching technique, make the photoetching hectograph with hidden code holographic false proof picture and text; Then in step S4, utilize galvanoplastics, make contour forging nickel version; Utilize afterwards hot pressing reprography, the hidden code holographic false proof picture and text in described contour forging nickel version are printed to information bearing bed, to form anti-counterfeiting information layer.
It will be understood by those skilled in the art that the concrete form according to anti false film, can be before above preparation process step, between and afterwards, correspondingly increase suitable operation.For example, in the situation of gilding film, by before holographic false proof figure batch imprinting and copying, information bearing bed 2 need to be coated on base membrane layer 1.After anti-counterfeiting information layer 21 forms, utilize vacuum coating technology, metal film or the deielectric-coating of the high reflection of plating on anti-counterfeiting information layer 21, form high reflection film plating layer 3; The molten pressure-sensitive adhesive layer 41 of coated heat or gum layer 42 are to height reflection film plating layer 3.Finally can cut anti false film, to be applied on product.
The product of so making can diffraction goes out that rich color is attractive in appearance, the light of dynamic change, hyperchannel and multidimensional becomes effect holographic false proof image, not only can distinguish to have the true and false of dazzling beautiful diffraction light change by naked eyes, is applicable to the public false proof; In Information Level, also hide coding, can show the information that it is hiding by the decoding program of portable equipment (smart mobile phone), as word, image, voice document or video file etc., there is double anti-forge effect, can be applicable to the fields such as anti-false trademark.
In the concrete use of gilding film of the present invention, because gilding film when gold stamping is subject to high temperature and certain pressure, be subject to the effect of temperature and pressure, first release layer 5 starts melting as the minimum part of fusing point in each layer and is converted into liquid, under the effect of peeling force, first this layer destroys, thereby the information carrier layer of beared information layer 21 2 is separated with base membrane layer 5.Along with the increase of temperature and pressure, hot-fusible pressure-sensitive adhesive layer 4 starts softening and occurs viscosity, when the effect of glue-line adhesion be greater than melting wax layer adhesion time, bronzing material is transferred on stock, base membrane layer 1 is stripped from, thereby realizes complete gold stamping process.
In the concrete use of composite membrane of the present invention (or total transfer film), utilize the adhesiveness of gum layer 4, use equipment complex to there is base material compound and slaking with another base material of holographic information.Thereby the holographic anti-counterfeiting film with hidden code is transferred on stock.As described above, in the time that holographic anti-counterfeiting film of the present invention is composite membrane, base membrane layer 1 does not separate in recombination process; And in the time that holographic anti-counterfeiting film of the present invention is total transfer film, this base membrane layer will separate in recombination process, and can be recycled.
With reference to figure 4, illustrate according to the present invention, use portable equipment (for example smart mobile phone) to identify hidden code holographic anti-counterfeiting film of the present invention, show the system hiding Info to decode.This system mainly comprises two parts: intelligent terminal (for example smart mobile phone), comprise therein the device for scanning and identify hidden code holographic anti-counterfeiting film of the present invention, and data server for hidden code holographic anti-counterfeiting film of the present invention is retrieved and mated.
Be described respectively below.
The embodiment of the present invention also provides a kind of device that scans and identify above-mentioned hidden code holographic anti-counterfeiting film, and this device comprises Video Capture module and hidden code analysis module, and wherein Video Capture module is used for scanning hidden code holographic anti-counterfeiting film, completes Video Capture; Hidden code analysis module carries out image pre-service for the image that Video Capture module scanning hidden code holographic anti-counterfeiting film is obtained, and resolve through the hidden code in pretreated image, the hidden pattern that parsing is obtained is sent to a data server by wireless network after encrypting and retrieves and mate.Wireless network can adopt general packet radio service technology (General Packet Radio Service, GPRS) network or 3G network.
Video Capture module can be applicable to Android, iOS, Windows Phone(is called for short WP) etc. intelligent operating system, cover the equipment such as smart mobile phone, notebook computer, panel computer on the market with camera, its major function is to set up complete Video Capture platform according to different operating system, and guiding user uses camera to scan interested material (comprising Quick Response Code, bar code or laser anti-counterfeit label etc.).Video Capture module can scan hidden code holographic anti-counterfeiting film in the following way, completes Video Capture:
(a) select video capturing device (as the camera of intelligent terminal), whether the parameters of definition camera as preview, picture format, preview frame number, preview size etc., then preview call back function is set, in call back function, receive, analyze each frame, start preview process, thereby startup video capturing device, and timer is set;
(b) camera focuses once every a setting-up time, and this setting-up time by above-mentioned set timer, for example, can arrange every 1 second and once focus, after focusing successfully, take a sub-picture, then set up another a thread, image cursor is pointed to hidden code analysis module, resolved by hidden code analysis module; Thread (main thread) the configuration state word (for example configuration state word be 1 or other numerical value except 0) of simultaneously taking pictures makes camera stop taking pictures, but camera is proceeded Video Capture, focusing task, waits for the processing of hidden code analysis module;
(c) when hidden code analysis module thread finishes, may obtain analyzing successfully or failed result.If hidden code analysis module successfully resolved, also successfully obtained hidden pattern, finish this task of Video Capture module; Obtain hidden pattern if fail, reminding user need be tried again, and can return to execution (b).No matter above-mentioned which kind of situation, when user turns back to Video Capture interface, main thread is removed status word (making status word is 0), restarts the process of the 1 second focusing photographic analysis in interval.
Hidden code analysis module scans to Video Capture module the image obtaining and carries out pre-service, obtain the self-defined random code word being distributed in image, to self-defined random code word pattern-recognition, analysis, use key to encrypt self-defined code word, calculate the ciphertext of regular length and by wireless network, ciphertext is sent to the data server in high in the clouds.High in the clouds data server is decrypted the ciphertext receiving, classification of service code in quick-searching server, mate applicable coding and feed back corresponding information, again utilize wireless network (GPRS or 3G) object information to be sent to user's intelligent terminal, user can differentiate the true and false of commodity and trace to the source according to corresponding information.
Particularly, hidden code analysis module comprises image pretreatment unit, hidden pattern analytic unit and hidden pattern ciphering unit.Through focusing, the image of the acquisition of taking pictures is subject to shadow variation, weather, photographer's impact, need carry out pre-service to image by image pretreatment unit.For feature of image, the present embodiment successively carries out homomorphic filtering, histogram equalization and Canny operator edge detection to image, makes outstanding hidden pattern and noise distribution in image.Respectively these 3 image processing process of homomorphic filtering, histogram equalization and Canny operator edge detection are described further below:
(1) homomorphic filtering:
The dynamic range of images that obtains of taking pictures is very large, and the gray scale of part interested is very dark, and image detail can not be recognized, adopts general grey scale linear converter technique effect bad.The homomorphic filtering of image belongs to picture frequency territory and processes category, and its effect is that gradation of image scope is adjusted, and by the uneven problem of throwing light on removal of images, strengthens the image detail of dark space, does not lose again the image detail in clear zone simultaneously.
The image f (x, y) of natural scene can be by grading function f i(x, y) and reflective function f rthe product representation of (x, y).F i(x, y) describes the illumination of scenery, irrelevant with scenery; f rthe details that (x, y) comprises scenery, irrelevant with illumination.
f(x，y)＝f i(x，y)*f r(x，y)
0＜f i(x，y)＜∞；0＜f r(x，y)＜1 (1)
Because the two multiplies each other, cannot transform to frequency domain and separately process again, therefore do following processing:
Formula (1) is taken the logarithm
lnf(x，y)＝lnf i(x，y)+lnf r(x，y) （2）
Make to become addition relation in spatial domain, formula (2) is got to Fourier transform
F ln(u，v)＝F i，ln(u，v)+F r，ln(u，v) (3)
In formula, F i, ln: grading function spatially changes slowly, and its spectral characteristic concentrates on low-frequency range; F r, ln: the spectrum concentration of reflective function is high band (having more details and edge) in image, the scenery that reflective function is described reflects the detail content of image, and its frequency is in high-frequency region.
If image illumination is uneven, on image, the mean flow rate of each several part has fluctuating.Corresponding to the just more difficult resolution of image detail structure of dark space, need to eliminate this unevenness.Can compress the tonal range of grading function, namely on frequency domain, weaken the composition of grading function, strengthen the spectrum component of reflective function simultaneously, just can increase the contrast of the reflective function of reflection picture contrast.As a result, dark space image detail on image is increased, and keep as wide as possible the image detail in clear zone.Be multiplied by transfer function H (u, v) (homomorphic filter), low-frequency range is compressed, and high band has been expanded.
G ln(u，v)＝F ln(u，v)*H(u，v)
=G i，ln(u，v)+G r，ln(u，v) (4)
Then ask Fourier inversion, must be in corresponding spatial domain expression formula
g(x，y)＝exp{F -1{G ln(u，v)}} (5)
According to different picture characteristics and needs, select different H (u, v), poor to detail contrast, differentiate unclear image homomorphic filter process after, image frame brightness ratio is more even, details is strengthened.
(2) histogram equalization:
After homomorphic filtering, image is converted to gray-scale map, due to the gray-scale value non-uniform Distribution of many images, wherein to concentrate on an image in minizone be very common to gray-scale value.Histogram equalization is the method that strengthens picture contrast by each gray-scale value that again distributes equably.Image through histogram equalization is chosen very favourable to binary-state threshold.
The present embodiment uses image scale transform: the pixel between gray area [a, b] is mapped to [z 1, z k] interval.Generally, between original image gray area, [a, b] is usually space [z 1, z k] subspace, now, the pixel z in former interval be mapped to the function representation of pixel z ' in new district be
z ′ = z k - z 1 b - a ( z - a ) + z 1 - - - ( 6 )
In fact above-mentioned mapping relations arrive [a, b] interval extension interval [z 1, z k] upper, make the more black of image black, white is whiter.
(3) rim detection:
The position that needs to extract hidden code and noise in image, in image there is zone boundary jumpy in gray scale.In fact, this is a typical rim detection problem.The essence of rim detection is to adopt certain algorithm to extract the boundary line between objects in images and background, Canny operator be neighborhood centered by pending pixel as the basis of carrying out gray analysis, realize the extraction of image border and obtained good treatment effect.Its basic step is:
1, filtering.Rim detection is mainly based on derivative calculations, but affected by noise.The loss of edge strength is being fallen the low noise while and is also causing in wave filter.
2, strengthen.The point that enhancing algorithm has significant change gray scale in neighborhood highlights.Generally complete by compute gradient amplitude.
3, detect.What in some image, gradient magnitude was larger is not marginal point.The simplest rim detection is gradient magnitude threshold determination.
4, location.Accurately determine the position at edge.
Canny operator asks marginal point specific algorithm step as follows:
1, use Gaussian filter smoothed image.
2, by single order local derviation finite difference compute gradient amplitude and direction.
3, gradient magnitude is carried out to non-maximum value inhibition.
4, detect with dual threshold algorithm and be connected edge.
Can give prominence to hidden pattern and noise distribution through pretreated image, and the final purpose of the present embodiment is that hidden pattern is extracted and identified from noise.Hidden code code word in the present embodiment contains 10 radixes, and every 30 form a hidden pattern, and the quantity that can calculate all hidden patterns is 10 30individual.For the hidden pattern that obtains containing noise, first need hidden code image to carry out denoising, then use the classification function obtaining by machine learning method to identify above-mentioned 10 radixes, finally image is scanned, differentiate and whether contain corresponding hidden pattern.
Therefore, in the present embodiment, by hidden pattern analytic unit, hidden pattern is extracted and identified from noise, comprise: adopt the hidden pattern denoising that contains noise in image Video Capture module scanning hidden code holographic anti-counterfeiting film being obtained for the Markov random field model of bianry image, use the machine learning method of linear multi-class support vector machine to carry out model training and obtain classification function, 10 radixes that use the hidden code of classification function identification image, scan to obtain hidden pattern sequence to the image after denoising.In addition, encrypt resolving the hidden pattern obtaining by hidden pattern ciphering unit, for example, use personal key algorithm that the character string of hidden pattern is encrypted.Respectively the processing procedure of hidden code image denoising and the identification of hidden code base is described further below:
(1) hidden code image denoising:
Image denoising herein for be the hidden pattern that contains noise.Consider efficiency, the present embodiment adopts the Markov random field model for bianry image.The quantity of supposing noise is less than real hidden pattern, can think any point x in muting hidden pattern iwith on relevant position in the hidden pattern of Noise, put y ithere is stronger correlativity, equally also can think consecutive point x in the hidden pattern of noiseless iwith x jthere is stronger correlativity.We by such point with strong correlation to being defined as one group of neighborhood, so just had the neighborhood of two types: (x i, y i) and (x i, x j).These two kinds of prioris are programmed in energy function, for (x i, y i), get-η of energy function x iy i, η is a positive constant, to (x i, x j), get-γ of energy function x ix j, γ is a positive constant.In addition, for the hidden pattern of the present embodiment, need to add an energy function to be conducive to the appearance of point separately, so complete energy function form is:
E ( x , y ) = h Σ i x i - γ Σ i , j x i y i - η Σ i x i y i - - - ( 7 )
Energy function defined have a joint probability distribution of a vector x and y:
p ( x , y ) = 1 Z exp { - E ( x , y ) } - - - ( 8 )
In formula (8), Z is normalized factor.
Because y is the point observing, formula (8) is in fact equivalent to and has defined conditional probability p (x|y), and the object of image denoising is to find the probable value of maximum possible.The algorithm that native system adopts is graph-cuts, and this algorithm can ensure global convergence, has higher efficiency simultaneously.
(2) hidden code base identification
In the present embodiment, hidden pattern is made up of 10 primary image patterns, for can effectively extracting the pattern lying in image, need carry out in advance model training, obtain discriminant function, thereafter to clap image detect primary image mode sequences and coding mode sequence.
The machine learning algorithm that in the present embodiment, model training adopts is multi-class support vector machine (Support Vector Machine, SVM).Support vector machine is that V.Vipnik etc. is according to Statistical Learning Theory (Statistical Learning Theory, SLT) a kind of new machine learning method proposing, show many distinctive advantages solving in non-linear and higher-dimension pattern recognition problem, obtained good effect at aspects such as pattern-recognition, approximation of function and probability density estimations.Support vector machine is a kind of feedforward neural network in essence, according to empirical risk minimization, makes under the prerequisite of training sample error in classification minimization, improves the extensive Generalization Ability of sorter as far as possible.From the angle of implementing, the core concept of Training Support Vector Machines is equivalent to the quadratic programming problem that solves a linear restriction, thereby construct a lineoid as decision-making plane, make the distance maximum between two quasi-modes in feature space, and can ensure that the solution obtaining is globally optimal solution.
SVM method is that the optimal classification face (Optimal Hyperplane) from linear separability situation proposes.Optimal classification face requires sorting track not only can separate faultless two class samples exactly, and will make the distance maximum between two classes.
If linear separability sample set is (x i, y i), i=1,2 ..., n, x ∈ R d, y ∈+1, and-1}, y is category label.The general type of d dimension space neutral line discriminant function is: g (x)=ω tx+b, classifying face equation is:
ω Tx+v＝0 (9)
Discriminant function is normalized, the all samples of two classes are all met | g (x) |>=1, that is, make the g (x) of the sample nearest from classifying face |=1, class interval just equals 2/|| ω like this ||, therefore interval maximum is equivalent to and makes || ω || (or || ω || 2) minimum; And require sorting track correctly to classify to all samples, require exactly it to meet:
y i[ω Tx+b]-1≥0，(i＝1，2，...，n) (10)
Therefore, meet above-mentioned condition and make || ω || 2minimum classifying face is exactly optimal classification face.In this two classes sample, make exactly from the nearest point of classifying face and the training sample that is parallel on the lineoid of optimal classification face those samples that in formula (9), equal sign is set up, they are called support vector (Support Vectors).According to the above discussion, optimal classification face problem can be expressed as following constrained optimization problem,, under the constraint of formula (10), asks function:
Φ ( ω ) = 1 2 | | ω | | 2 - - - ( 11 )
Minimum value.This is a quadratic programming problem, can obtain optimum solution ω *, b *.Obtaining optimal classification function is:
f(x)＝sgn{ω *Tx+b *} (12)
Wherein: sgn (.) is sign function, for given unknown sample x, only need calculating formula (12) can judge the classification that x is affiliated.
In sum, the present embodiment uses linear multi-class support vector machine, after the training stage completes, obtains classification function.To image-region scanning, obtain hidden pattern sequence, use key the character string of the hidden pattern of correspondence to be encrypted to (for example using personal key algorithm to encrypt), and ciphertext is sent to data service module coupling, searches for Item Information corresponding to this pattern.
In addition, this device also comprises a demonstration execution module, for receiving the Item Information after retrieval and the coupling that data server returns by wireless network, and Item Information is shown on a display screen.
Those skilled in the art should know, this device can form an application program by programming, for example be applicable to the application program of intelligent terminal, this application program is installed on after intelligent terminal, the video capturing device of combined with intelligent terminal device can be realized scanning and identify the function of above-mentioned hidden code holographic anti-counterfeiting film, can also stacking diagram's layer commodity true and false and other information that on video, display data server feeds back after identifying successfully.
The embodiment of the present invention also provides a kind of intelligent terminal that scans and identify above-mentioned hidden code holographic anti-counterfeiting film, this intelligent terminal comprises that device is as above (in the situation that forming an application program by this device by programming, be understood to this application program is installed in this intelligent terminal), intelligent terminal is provided with video capturing device and possesses wireless networking capabilities, and the mode of wireless Internet access can adopt GPRS or 3G network.Intelligent terminal can be the intelligent movable equipment such as smart mobile phone, notebook computer or PDA, and it generally all possesses this video capturing device of camera.
The embodiment of the present invention also provides a kind of data server that above-mentioned hidden code holographic anti-counterfeiting film is retrieved and mated, this data server comprises database module and data service module, and wherein database module is for stores service classification code and the Item Information corresponding with classification of service code; Data service module is used for receiving by wireless network the hidden pattern of the encryption of certain device or equipment transmission, undertaken deciphering hidden pattern after error checking and correction by cyclic redundancy check (CRC) code (Cyclic Redundancy Check), classification of service code in retrieve data library module, from classification of service code, match with the coding of hidden pattern adaptation and obtain the Item Information that coding is corresponding, finally by wireless network, the object information after retrieval and coupling being fed back to device or the equipment of scanning recognition.Along with product increases, the record in database will rise to the order of magnitude that has a strong impact on retrieval rate, adopts secondary index structure to improve query performance in the present embodiment.
The embodiment of the present invention also provides a kind of system that above-mentioned hidden code holographic anti-counterfeiting film is identified, and this system comprises scanning and the intelligent terminal of identification hidden code holographic anti-counterfeiting film and the data server that hidden code holographic anti-counterfeiting film is retrieved and mated as above as above.Wherein, intelligent terminal is taken the image of hidden code holographic anti-counterfeiting film, the hidden pattern in analysis diagram picture, and the hidden pattern that parsing is obtained is sent to data server by wireless network after encrypting and retrieves and mate; Data server receives the hidden pattern of the encryption of intelligent terminal transmission by wireless network, retrieval service classification code from database module, from classification of service code, match with the coding of hidden pattern adaptation and obtain the Item Information that coding is corresponding, by wireless network, the Item Information after retrieval and coupling being fed back to device or equipment.Same, wireless network can be GPRS or 3G network.
When concrete application, at Quick Response Code, the hidden code of additional random on bar code or laser anti-counterfeit label, by user's smart mobile phone, notebook computer, panel computers etc. have the intelligent terminal of camera to Quick Response Code, bar code or laser anti-counterfeit tag scan are also taken specimen page, the picture obtaining is identified on intelligent terminal, intelligent terminal is resolved wherein hidden pattern corresponding to article, the coding of hidden pattern is sent to data server by wireless network, after string coupling, obtain the corresponding informance of article, again by wireless network, Item Information (true and false information or the additional informations of for example commodity) is fed back to user's intelligent terminal from data server, thereby complete identification process one time.
Native system can be with APP(Application) form download is provided, iOS, Android and WP version can be provided.When use, the carrier that contains hidden pattern is carried out to videoscanning, system can complete automatic focusing, takes pictures, pattern analysis, feedback merchandise news process.For example: in holographic laser label, add microcode anti-counterfeiting technology, label is scanned with intelligent terminal, APP decodes to scan image, form the interval code of a string encryption, the data server that is sent to high in the clouds by wireless network again carries out Data Matching, returns to corresponding data after the match is successful to user's intelligent terminal.
The above the specific embodiment of the present invention, does not form limiting the scope of the present invention.Various other corresponding changes and distortion that any technical conceive according to the present invention has been done, all should be included in the protection domain of the claims in the present invention.

Claims (13)

1. a hidden code holographic anti-counterfeiting film, is characterized in that, comprises anti-counterfeiting information layer, in described anti-counterfeiting information layer containing holographic false proof picture and text, and with the hidden code of described holographic false proof overlap, overlapping and/or apart arrangement.
2. hidden code holographic anti-counterfeiting film as claimed in claim 1, it is characterized in that, the discrete encoded point of described hidden code for the open programmable interface coding of smart machine being exported by use, and can show hiding Info of described hidden code by the decoding program that uses intelligent terminal.
3. hidden code holographic anti-counterfeiting film as claimed in claim 2, is characterized in that, described in hide Info and comprise word, image, voice document, video file or their combination.
4. hidden code holographic anti-counterfeiting film as claimed in claim 1, is characterized in that, described holographic false proof picture and text are hologram, bar code, Quick Response Code, or their combination.
5. for making the method for anti-counterfeiting information layer for hidden code holographic anti-counterfeiting film, it is characterized in that, comprise step:
S1, by the programmable interface coding open to smart machine, exports discrete encoded point;
S2 by described discrete encoded point together with holographic false proof graphic rendering;
S3 utilizes holographic shooting or photoetching technique, makes the photoetching hectograph with hidden code holographic false proof picture and text;
S4 utilizes galvanoplastics, makes contour forging nickel version; And
S5 utilizes hot pressing reproduction technology, the hidden code holographic false proof picture and text in described contour forging nickel version is stamped on information bearing bed, to form anti-counterfeiting information layer.
6. a device for the hidden code holographic anti-counterfeiting film described in any one in scanning and identification claim 1-4, is characterized in that, described device comprises:
Video Capture module, for scanning described hidden code holographic anti-counterfeiting film, completes Video Capture;
Hidden code analysis module, carry out image pre-service for the image that Video Capture module scanning hidden code holographic anti-counterfeiting film is obtained, resolve through the hidden code in pretreated image, the hidden pattern that parsing is obtained is sent to a data server by wireless network after encrypting and retrieves and mate.
7. device as claimed in claim 6, is characterized in that, described Video Capture module further scans described hidden code holographic anti-counterfeiting film in the following way, completes Video Capture:
(a) select video capturing device, the parameters of definition video capturing device, arranges preview call back function, thereby starts video capturing device, and timer is set;
(b) described video capturing device focuses once every a setting-up time, and the successfully rear sub-picture of taking of focusing is resolved to hidden code analysis module, and video capturing device stops taking pictures but proceeds Video Capture and focusing;
(c) if hidden code analysis module successfully resolved finishes; Otherwise return to execution (b).
8. device as claimed in claim 6, is characterized in that, described hidden code analysis module further comprises:
Image pretreatment unit, carries out homomorphic filtering, histogram equalization and Canny operator edge detection for the image that Video Capture module scanning hidden code holographic anti-counterfeiting film is obtained, and makes outstanding hidden pattern and noise distribution in described image;
Hidden pattern analytic unit, for hidden pattern is extracted and is identified from noise, comprise: adopt the hidden pattern denoising that contains noise in image Video Capture module scanning hidden code holographic anti-counterfeiting film being obtained for the Markov random field model of bianry image, use the machine learning method of linear multi-class support vector machine to carry out model training and obtain classification function, 10 radixes that use the hidden code of described classification function identification image, scan to obtain hidden pattern sequence to the image after denoising;
Hidden pattern ciphering unit, for encrypting resolving the hidden pattern obtaining, comprising: use personal key algorithm that the character string of described hidden pattern is encrypted.
9. the device as described in any one in claim 6-8, it is characterized in that, described device also comprises a demonstration execution module, for receiving the Item Information after retrieval and the coupling that described data server returns by wireless network, and described Item Information is shown on a display screen.
10. an intelligent terminal that scans and identify the hidden code holographic anti-counterfeiting film described in any one in claim 1-4, it is characterized in that, described intelligent terminal comprises the device described in claim 6-9 any one, described intelligent terminal is provided with video capturing device, and described intelligent terminal possesses wireless networking capabilities.
11. 1 kinds of data servers that the hidden code holographic anti-counterfeiting film described in any one in claim 1-4 is retrieved and mated, is characterized in that, described data server comprises:
Database module, for stores service classification code and the Item Information corresponding with described classification of service code;
Data service module, be used for receiving by wireless network the hidden pattern of the encryption of certain device or equipment transmission, undertaken deciphering described hidden pattern after error checking and correction by cyclic redundancy check (CRC) code, retrieve the classification of service code in described database module, from classification of service code, match with the coding of described hidden pattern adaptation and obtain the Item Information that coding is corresponding, by wireless network, the object information after retrieval and coupling being fed back to described device or equipment.
12. 1 kinds of systems that the hidden code holographic anti-counterfeiting film described in any one in claim 1-4 is identified, it is characterized in that, described system comprises the data server that hidden code holographic anti-counterfeiting film is retrieved and mated described in intelligent terminal and the claim 11 of scanning claimed in claim 10 and identification hidden code holographic anti-counterfeiting film; Wherein,
Described intelligent terminal, for taking the image of described hidden code holographic anti-counterfeiting film, is resolved the hidden pattern in described image, and the hidden pattern that parsing is obtained is sent to described data server by wireless network after encrypting and retrieves and mate;
Described data server is used for receiving by wireless network the hidden pattern of the encryption of intelligent terminal transmission, retrieval service classification code from database module, from classification of service code, match with the coding of described hidden pattern adaptation and obtain the Item Information that coding is corresponding, by wireless network, the Item Information after retrieval and coupling being fed back to device or equipment.
Data server as described in 13. devices as described in any one in claim 6-9, intelligent terminal claimed in claim 10, claim 11 or the system as described in claim 12, is characterized in that, described wireless network is GPRS or 3G network.
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