CN107180586A - A kind of pair of label type antifalsification label - Google Patents

A kind of pair of label type antifalsification label Download PDF

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Publication number
CN107180586A
CN107180586A CN201710292778.8A CN201710292778A CN107180586A CN 107180586 A CN107180586 A CN 107180586A CN 201710292778 A CN201710292778 A CN 201710292778A CN 107180586 A CN107180586 A CN 107180586A
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label
lower floor
commodity
designated
sift feature
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宋育锋
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    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09FDISPLAYING; ADVERTISING; SIGNS; LABELS OR NAME-PLATES; SEALS
    • G09F3/00Labels, tag tickets, or similar identification or indication means; Seals; Postage or like stamps
    • G09F3/02Forms or constructions
    • G09F3/0288Labels or tickets consisting of more than one part, e.g. with address of sender or other reference on separate section to main label; Multi-copy labels
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K19/00Record carriers for use with machines and with at least a part designed to carry digital markings
    • G06K19/06Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
    • G06K19/06009Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code with optically detectable marking
    • G06K19/06046Constructional details
    • G06K19/06103Constructional details the marking being embedded in a human recognizable image, e.g. a company logo with an embedded two-dimensional code
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09FDISPLAYING; ADVERTISING; SIGNS; LABELS OR NAME-PLATES; SEALS
    • G09F3/00Labels, tag tickets, or similar identification or indication means; Seals; Postage or like stamps
    • G09F3/02Forms or constructions
    • G09F3/0297Forms or constructions including a machine-readable marking, e.g. a bar code
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09FDISPLAYING; ADVERTISING; SIGNS; LABELS OR NAME-PLATES; SEALS
    • G09F3/00Labels, tag tickets, or similar identification or indication means; Seals; Postage or like stamps
    • G09F3/02Forms or constructions
    • G09F2003/0257Multilayer

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Image Analysis (AREA)
  • Editing Of Facsimile Originals (AREA)
  • Processing Or Creating Images (AREA)
  • Labeling Devices (AREA)

Abstract

The invention discloses a kind of pair of label type antifalsification label, this pair of label type antifalsification label includes:Upper label and lower floor's label;The overall boundary of the upper label is in the bounds of lower floor's label or part covers lower floor's label;The texture information of lower floor's label is the texture information extracted for SIFT feature.The present invention is as a result of double-layer label, the textural characteristics of levels label are special but uncomplicated and relative geometry position information of levels label is difficult physics and simply repeated, it is to avoid introduce sky high cost and the complex technology requirement that complex texture and material with complex are brought.

Description

A kind of pair of label type antifalsification label
Technical field
The present invention relates to anti-counterfeiting technology field, more particularly to a kind of pair of label type antifalsification label.
Background technology
At present, false proof has been the indispensable technology such as commodity circulation, sale.Current anti-counterfeiting technology method master There are Quick Response Code or other graphic codes for containing semantic information, laser holography, fluorescent material, water marked paper etc..Quick Response Code or The semantic information of other graphic codes for containing semantic information is easy to understand but is also easy to be replicated;Laser holography, phosphor Main attention is placed on above anti-fake material and complicated texture by material, the method such as water marked paper, and production cost is high, technical sophistication and not Beneficial to large-scale promotion, and for ordinary consumer, it is difficult to recognize.
The content of the invention
The technical problem to be solved in the present invention is that there is provided a kind of pair of label type anti-counterfeiting label for defect of the prior art Label.
The technical solution adopted for the present invention to solve the technical problems is:A kind of pair of label type antifalsification label, including:
Upper label and lower floor's label;
The overall boundary of the upper label is in the bounds of lower floor's label;
The texture information of lower floor's label is the texture information extracted for SIFT feature.
By such scheme, the texture information of the upper label is to include the texture information of merchandise news.
By such scheme, the upper label is Quick Response Code or other graphic code labels for containing semantic information.
By such scheme, the merchandise news that the upper label includes includes trade name, the commodity place of production and manufacturer One or more in information.
By such scheme, the texture information of lower floor's label includes abundant shade of gray characteristic information.It can be used to The shade of gray characteristic information that SIFT feature is extracted.
By such scheme, the upper label is that two or more labels splice obtained label.
By such scheme, the label that the upper label is obtained by the two label splicings of left side label and right side label.
By such scheme, the label that the upper label is obtained by the two label splicings of left side label and right side label, institute It is I-shaped label to state left side label, and the right side label is rhombus label.
By such scheme, the upper label is pasted onto on lower floor's label by either manually or mechanically mode.
The operation principle of the present invention is as follows:
1) real commodity original and commodity original to be detected is taken to be designated as S1, S2;S1 lower floor's label is designated as D1, S2's Lower floor's label is designated as D2, D1 and D2 and is attached to commodity S1, S2 surfaces respectively;S1 upper label is designated as U1, S2 upper label note For U2.Commodity S1 double labels are designated as T, double labels, T={ U1, D1 } by template of T, U1 is with craft or certain mechanical system It is attached on lower floor label D1;Commodity S2 double labels are designated as P, and P is as double labels to be tested, P={ U2, D2 }, U2 be also with Manual or certain mechanical system is attached on lower floor label D2.Then, to double label T, P, which is shot, to be formed two width pictures and is designated as IMG1, IMG2;
2) IMG1 is read respectively, the semantic information of IMG2 labels at the middle and upper levels obtains the information of commodity, can also obtain commodity The information such as the place of production, manufacturer.Row information of going forward side by side is compared, and carries out false proof differentiation for the first time;
3) label D2, U2 SIFT feature up and down in label D1, U1 and IMG2 up and down is extracted in IMG1 respectively;
4) SIFT feature registration is carried out to D1 and D2, SIFT feature point set registering in D1 and D2 is taken out and is designated as f1, f2;With D1, using SIFT feature point set f1 and f2 position coordinates, builds D2 to D1 affine transformation matrix note as the standard of reference Rotation is included for M, M, is translated, the parameter such as change of scale factor.This step be by D2 transform to the same positions of D1, weaken not The interference brought with shooting angle and commodity putting position.
5) SIFT feature registration is carried out to U1 and U2, SIFT feature the point set f1 ', f2 ' of registration is taken out;U2 SIFT is special Point set f2 ' is levied according to step 3) Metzler matrix that calculates carries out affine transformation and obtains feature point set f2 ".
6) according to f1 ' and f2 " position coordinates, calculate SIFT feature point set f1 ' and f2 " apart from d, d be point set f1 ' and F2 " corresponding points are apart from sum.The upper label U2 that this d reflects to be measured couple of label P of commodity S2 is relative with respect to lower floor label D2 Displacement information.
7) according to d and given distance threshold relatively and combine the semantic information of upper label, comprehensive descision double marks to be measured Whether label P is double labels of real goods, and then judges commodity S2 legitimacy.
When upper label is that two or more labels are spliced, its false proof principle is similar, is described below:
True bilayer multi-tag sample is designated as S1;Double-deck multi-tag S2 to be detected.S1 lower floor's label is designated as D1, S2's Lower floor's label is designated as D2;S1 upper label is designated as U_S1_1, and U_S1_2, S2 upper label is designated as U_S2_1, U_S2_2.Will The S1 multi-tag included is designated as T, using T as template multi-tag, T={ U_S1_1, U_S1_2, D1 }, U_S1_1, U_S1_2 with Manual or certain mechanical system is attached on lower floor label D1;The multi-tag that S2 is included is designated as P, and P is more as bilayer to be tested Label, P={ U_S2_1, U_S2_2, D2 }, U_S2_1, U_S2_2 is also to be attached to lower floor's label with craft or certain mechanical system On D2.Then, to S1, S2, which is shot, to be formed two width pictures and is designated as IMG1, as shown in Fig. 2 IMG2 is as shown in Figure 3.
Go out IMG1 according to certain rule parsing respectively, the semantic information of IMG2 double labels at the middle and upper levels obtains the letter of commodity Breath, can also obtain the information such as the place of production, commodity shape, type of merchandize and the goods manufacturer of commodity.And carry out merchandise news comparison, Carry out false proof differentiation for the first time;
Label D2, U_S2_1 and U_ up and down in label D1, U_S1_1, U_S1_2 and IMG2 up and down are extracted in IMG1 respectively S2_2 SIFT feature, as shown in Fig. 4 and Fig. 5 red point
SIFT feature registration is carried out to D1 and D2, SIFT feature point set registering in D1 and D2 is taken out and is designated as f1, f2;With D1, using SIFT feature point set f1 and f2 position coordinates, builds D2 to D1 affine transformation matrix as the standard of reference M is designated as, M includes rotation, translates, the parameter such as change of scale factor.This step is to transform to D2 and the same positions of D1, weakening The interference that different shooting angles and the commodity putting position of multi-tag attachment are brought.
To U_S1_1, U_S1_2 and U_S2_1, U_S2_2 carries out SIFT feature registration, takes out the SIFT feature point set of registration Close f1_s, f2_s;By U_S2_1, U_S2_2 SIFT feature point set f2_s is according to step 3) Metzler matrix that calculates imitated Penetrate conversion and obtain set of characteristic points f2_ss.
According to f1_s and f2_ss position coordinates, calculate SIFT feature point set f1_s and f2_ss apart from d, d is a little Set f1_s and f2_ss corresponding points apart from sum.This d reflects the S2 multi-tag P to be measured double label U_S2_1, U_ in upper strata S2_2 label D2s double with respect to lower floor relative displacement information.
According to d with given distance threshold relatively and with reference to the semantic information of upper label, comprehensive descision multi-tag P to be measured Whether it is the multi-tag of real goods, and then judges the legitimacy of affiliated commodity.
The beneficial effect comprise that:The present invention is as a result of double-layer label, the textural characteristics of levels label Special but uncomplicated and levels label relative geometry position information is difficult physics and simply repeats, it is to avoid introducing complex texture The sky high cost brought with material with complex and complex technology requirement.
Brief description of the drawings
Below in conjunction with drawings and Examples, the invention will be further described, in accompanying drawing:
Fig. 1 is the true double label figures of packing box article of the embodiment of the present invention;
Fig. 2 is that the packing box article of the embodiment of the present invention is waited to veritify double label figures;
Schematic diagram of Fig. 3 genuine pieces article after SIFT feature is extracted;
Fig. 4 is schematic diagram of the article to be tested after SIFT feature is extracted;
Fig. 5 is double label type antifalsification label schematic diagrames of the embodiment of the present invention;
Fig. 6 is the combination tag schematic diagram of the embodiment of the present invention;
Fig. 7 is the true double label figures of packing box article of the embodiment of the present invention;
Fig. 8 is that the packing box article of the embodiment of the present invention is waited to veritify double label figures;
Schematic diagram of Fig. 9 genuine pieces article after SIFT feature is extracted;
Figure 10 is schematic diagram of the article to be tested after SIFT feature is extracted.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to embodiments, to the present invention It is further elaborated.It should be appreciated that specific embodiment described herein is not used to limit only to explain the present invention The fixed present invention.
As shown in figure 5, a kind of pair of label type antifalsification label, including:
Upper label and lower floor's label;
The overall boundary of the upper label is in the bounds of lower floor's label;
The texture information of lower floor's label is the texture information extracted for SIFT feature.
Wherein, the texture information of the upper label is to include the texture information of merchandise news.
It is conventional, during the upper label is Quick Response Code or other graphic code labels for containing semantic information, upper label Including merchandise news include trade name, the commodity place of production and manufacturer.
The texture information of lower floor's label includes abundant shade of gray characteristic information.
Upper label is alternatively the label that two or more label splicings are obtained.Its splicing is various informative, can be according to demand Voluntarily choose, the label that the upper label that the present embodiment is provided is obtained by the two label splicings of left side label and right side label, institute It is I-shaped label to state left side label, and the right side label is rhombus label.As shown in Figure 6.
Embodiment, refering to Fig. 1,2,3,4 examples provide a kind of double-layer label available for commodity counterfeit prevention.Fig. 1 and Fig. 2 It is the true double labels of packing box commodity respectively and waits to veritify the picture of double labels, wherein greyish white square texture region represents lower floor's mark Label, surface texture is mainly used as referring to background, and its abundant local feature information such as shade of gray etc. is carried available for SIFT feature Take;Quick Response Code or other graphic codes for containing semantic information represent upper label, and surface texture mainly believe by the semanteme comprising commodity Breath.It is the picture of genuine piece and commodity to be tested after SIFT feature is extracted respectively in Fig. 3 and Fig. 4, red point is SIFT feature Point.
It is that anti-counterfeiting detection is carried out by the relative position relation of upper label and lower floor's label when the present invention is used, because For no matter hand paste or machinery are pasted, human body natural's shake or the factor such as vibrations during machine operation, cause its upper label and The relative position of lower floor's label can all have difference, it is impossible to completely the same, and detection specifically includes following steps:
Real commodity original and commodity original to be detected is taken to be designated as S1, S2;S1 lower floor's label is designated as under D1, S2 Layer label is designated as D2, D1 and D2 and is attached to commodity S1, S2 surfaces respectively;S1 upper label is designated as U1, and S2 upper label is designated as U2.Commodity S1 double labels are designated as T, double labels by template of T, T={ U1, D1 }, U1 is pasted with craft or certain mechanical system On lower floor label D1;Commodity S2 double labels are designated as P, and P is as double labels to be tested, P={ U2, D2 }, and U2 is also with hand Work or certain mechanical system are attached on lower floor label D2.Then, to double label T, P, which is shot, to be formed two width pictures and is designated as IMG1, such as Fig. 1, shown, IMG2 is as shown in Figure 2.
Read IMG1 respectively, the semantic information of IMG2 labels at the middle and upper levels obtains the information of commodity, can also obtain the production of commodity The information such as ground, manufacturer.And merchandise news comparison is carried out, carry out false proof differentiation for the first time;
Label D2, U2 SIFT feature up and down in label D1, U1 and IMG2 up and down is extracted in IMG1 respectively.Wherein, The IMG1 typical SIFT feature point coordinates of lower floor's label is as shown in the table:
IMG1 upper labels typical case's SIFT feature point coordinates is as shown in the table:
70.23 112.22
65.91 113.96
80.88 103.44
73.39 109.18
83.04 108.22
The IMG2 typical SIFT feature point coordinates of lower floor's label is as shown in the table:
70.41 113.96
68.23 110.22
71.88 103.44
60.39 109.18
IMG2 upper labels typical case's SIFT feature point coordinates is as shown in the table:
SIFT feature registration is carried out to D1 and D2, SIFT feature point set registering in D1 and D2 is taken out and is designated as f1, f2;With D1 As the standard of reference, using SIFT feature point set f1 and f2 position coordinates, the affine transformation matrix for building D2 to D1 is designated as M, M include rotation, translate, the parameter such as change of scale factor.This step is to transform to D2 and the same positions of D1, weakening difference The interference that shooting angle and commodity putting position are brought.
SIFT feature registration is carried out to U1 and U2, SIFT feature the point set f1 ', f2 ' of registration is taken out;By U2 SIFT feature Point set f2 ' carries out the feature point set f2 ' that affine transformation is obtained according to the Metzler matrix 3) calculated.
According to f1 ' and f2 ' ' position coordinates, calculate SIFT feature point set f1 ' and f2 ' ' apart from d, d be point set f1 ' and F2 ' ' corresponding points are apart from sum.The upper label U2 that this d reflects to be measured couple of label P of commodity S2 is relative with respect to lower floor label D2 Displacement information.
According to d with given distance threshold relatively and with reference to the semantic information of upper label, to be measured couple of label P of comprehensive descision Whether it is double labels of real goods, and then judges commodity S2 legitimacy.
Embodiment two:
Embodiment, refering to Fig. 7,8,9,10 examples provide a kind of double-layer label available for commodity counterfeit prevention.Fig. 7 and figure 8 are the true double labels of cigarette case commodity respectively and wait to veritify the picture of double labels, wherein greyish white strip texture region represents lower floor's mark Label, surface texture is mainly used as referring to background, and its abundant local feature information such as shade of gray etc. is carried available for SIFT feature Take;Quick Response Code represents upper label, and surface texture mainly includes the semantic information of commodity.Be respectively in Fig. 9 and Figure 10 genuine piece and Picture of the commodity to be tested after SIFT feature is extracted, red point is SIFT feature.
The present invention is in use, comprise the following steps:
Real commodity original and commodity original to be detected is taken to be designated as S1, S2;S1 lower floor's label is designated as under D1, S2 Layer label is designated as D2, D1 and D2 and is attached to commodity S1, S2 surfaces respectively;S1 upper label is designated as U1, and S2 upper label is designated as U2.Commodity S1 double labels are designated as T, double labels by template of T, T={ U1, D1 }, U1 is pasted with craft or certain mechanical system On lower floor label D1;Commodity S2 double labels are designated as P, and P is as double labels to be tested, P={ U2, D2 }, and U2 is also with hand Work or certain mechanical system are attached on lower floor label D2.Then, to double label T, P, which is shot, to be formed two width pictures and is designated as IMG1, such as Fig. 7, shown, IMG2 is as shown in Figure 8.
Read IMG1 respectively, the semantic information of IMG2 labels at the middle and upper levels obtains the information of commodity, can also obtain the production of commodity The information such as ground, manufacturer.And merchandise news comparison is carried out, carry out false proof differentiation for the first time;
Label D2, U2 SIFT feature up and down in label D1, U1 and IMG2 up and down is extracted in IMG1 respectively.Wherein, The IMG1 typical SIFT feature point coordinates of lower floor's label is as shown in the table:
111.51 68.44
110.61 67.28
106.65 72.35
107.6 60.35
IMG1 upper labels typical case's SIFT feature point coordinates is as shown in the table:
112.22 70.23
113.96 65.91
103.44 80.88
109.18 73.39
108.22 83.04
The IMG2 typical SIFT feature point coordinates of lower floor's label is as shown in the table:
113.96 70.41
110.22 68.23
103.44 71.88
109.18 60.39
IMG2 upper labels typical case's SIFT feature point coordinates is as shown in the table:
113.82 71.31
110.15 69.24
106.44 73.01
105.86 69.25
110.21 61.59
SIFT feature registration is carried out to D1 and D2, SIFT feature point set registering in D1 and D2 is taken out and is designated as f1, f2;With D1 As the standard of reference, using SIFT feature point set f1 and f2 position coordinates, the affine transformation matrix for building D2 to D1 is designated as M, M include rotation, translate, the parameter such as change of scale factor.This step is to transform to D2 and the same positions of D1, weakening difference The interference that shooting angle and commodity putting position are brought.
SIFT feature registration is carried out to U1 and U2, SIFT feature the point set f1 ', f2 ' of registration is taken out;By U2 SIFT feature Point set f2 ' carries out the feature point set f2 ' that affine transformation is obtained according to the Metzler matrix 3) calculated.
According to f1 ' and f2 ' ' position coordinates, calculate SIFT feature point set f1 ' and f2 ' ' apart from d, d be point set f1 ' and F2 ' ' corresponding points are apart from sum.The upper label U2 that this d reflects to be measured couple of label P of commodity S2 is relative with respect to lower floor label D2 Displacement information.
According to d with given distance threshold relatively and with reference to the semantic information of upper label, to be measured couple of label P of comprehensive descision Whether it is double labels of real goods, and then judges commodity S2 legitimacy.According to above-mentioned method, 50 samples to be detected are taken False proof test is carried out, suitable threshold value 0.6 is set, and truth identification accuracy reaches more than 95%, close to 100%.
It should be appreciated that for those of ordinary skills, can according to the above description be improved or converted, And all these modifications and variations should all belong to the protection domain of appended claims of the present invention.

Claims (10)

1. a kind of pair of label type antifalsification label, it is characterised in that including:
Upper label and lower floor's label;
The position relationship of the upper label and lower floor's label is as follows:Border model of the upper label entirety boundary in lower floor's label Enclose interior or upper label part and cover lower floor's label;
Upper label and lower floor's label include texture information;
The texture information of lower floor's label is the texture information extracted for SIFT feature.
2. according to claim 1 pair of label type antifalsification label, it is characterised in that the texture information of the upper label is Texture information including merchandise news.
3. according to claim 1 pair of label type antifalsification label, it is characterised in that the upper label be Quick Response Code or its He contains the graphic code label of semantic information.
4. according to claim 1 pair of label type antifalsification label, it is characterised in that the upper label is two or more The label that label splices or combination is obtained.
5. according to claim 1 pair of label type antifalsification label, it is characterised in that the upper label by left side label and The label that label two label splicings in right side are obtained.
6. according to claim 1 pair of label type antifalsification label, it is characterised in that the upper label by left side label and The label that label two label splicings in right side are obtained, the left side label is I-shaped label, and the right side label is rhombus mark Label.
7. according to claim 1 pair of label type antifalsification label, it is characterised in that the commodity that the upper label includes Information includes the one or more in trade name, the commodity place of production and manufacturer's information.
8. according to claim 1 pair of label type antifalsification label, it is characterised in that the texture information bag of lower floor's label Include abundant shade of gray characteristic information.
9. according to claim 1 pair of label type antifalsification label, it is characterised in that the upper label passes through craft or machine Tool mode is pasted onto on lower floor's label.
10. a kind of false-proof detection method based on double label type antifalsification labels described in claim 1, comprises the following steps:
1) real commodity original and commodity original to be detected is taken to be designated as S1, S2 respectively;S1 lower floor's label is designated as D1, S2's Lower floor's label is designated as D2, D1 and D2 and is respectively adhered on commodity S1, S2 surfaces;S1 upper label is designated as U1, S2 upper label It is designated as U2;Commodity S1 double labels are designated as T, double labels, T={ U1, D1 } by template of T, U1 is with craft or certain machinery side Formula is attached on lower floor label D1;Commodity S2 double labels are designated as P, and P is also as double labels to be tested, P={ U2, D2 }, U2 It is attached to craft or certain mechanical system on lower floor label D2;
2) to double label T, P, which is shot, to be formed two width pictures and is designated as IMG1, IMG2;
3) label D2, U2 SIFT feature up and down in label D1, U1 and IMG2 up and down is extracted in IMG1 respectively;
4) SIFT feature registration is carried out to D1 and D2, SIFT feature point set registering in D1 and D2 is taken out and is designated as f1, f2;Made with D1 For the standard of reference, using SIFT feature point set f1 and f2 position coordinates, the affine transformation matrix for building D2 to D1 is designated as M, M Include rotation, translation, change of scale factor parameter;This step is to transform to D2 and the same positions of D1, the different shootings of weakening The interference that angle and commodity putting position are brought;
5) SIFT feature registration is carried out to U1 and U2, SIFT feature the point set f1 ', f2 ' of registration is taken out;By U2 SIFT feature Collecting f2 ' according to step 3) Metzler matrix that calculates carries out affine transformation and obtains feature point set f2 ";
6) according to f1 ' and f2 " position coordinates, calculate SIFT feature point set f1 ' and f2 " apart from d, d is point set f1 ' and f2 " Corresponding points are apart from sum;This is relative with respect to lower floor label D2 apart from the upper label U2 that d reflects to be measured couple of label P of commodity S2 Displacement information;
7) according to d and given distance threshold relatively and combine the semantic information of upper label, to be measured couple of label P of comprehensive descision is No is double labels of real goods, and then judges commodity S2 legitimacy.
CN201710292778.8A 2016-10-10 2017-04-28 A kind of pair of label type antifalsification label Pending CN107180586A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201610885122.2A CN106652764A (en) 2016-10-10 2016-10-10 Double-layer anti-counterfeit label
CN2016108851222 2016-10-10

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CN107180586A true CN107180586A (en) 2017-09-19

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CN201610885122.2A Pending CN106652764A (en) 2016-10-10 2016-10-10 Double-layer anti-counterfeit label
CN201710292778.8A Pending CN107180586A (en) 2016-10-10 2017-04-28 A kind of pair of label type antifalsification label
CN201710292349.0A Pending CN106952568A (en) 2016-10-10 2017-04-28 Double label type antifalsification labels
CN201710292725.6A Pending CN106952569A (en) 2016-10-10 2017-04-28 A kind of pair of label type antifalsification label
CN201710292479.4A Pending CN106981250A (en) 2016-10-10 2017-04-28 Antifalsification label based on article surface texture

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CN201710292349.0A Pending CN106952568A (en) 2016-10-10 2017-04-28 Double label type antifalsification labels
CN201710292725.6A Pending CN106952569A (en) 2016-10-10 2017-04-28 A kind of pair of label type antifalsification label
CN201710292479.4A Pending CN106981250A (en) 2016-10-10 2017-04-28 Antifalsification label based on article surface texture

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102737261A (en) * 2011-04-08 2012-10-17 吴善斌 Barcode inquiring marker and barcode generation method thereof
CN203149998U (en) * 2012-12-27 2013-08-21 深圳市世合科技有限公司 Bi-layer two-dimensional code label
US20150161915A1 (en) * 2013-12-10 2015-06-11 Ncr Corporation Adhesive label with water-based release coating
CN105117757A (en) * 2015-08-26 2015-12-02 复旦大学无锡研究院 Quick response code encryption and decryption method based on random textures
CN205581925U (en) * 2016-04-15 2016-09-14 大连声鹭科技有限公司 Anti -fake bar code label of nested type, anti -fake bar code tag information collector and anti -fake verification system

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2862416B1 (en) * 2003-11-14 2006-02-17 Faab Ind ADHESIVE COMPLEX SHEET FOR CARRYING OUT A SECURE IDENTIFICATION LABEL OF A MOTOR VEHICLE AND LABEL THUS OBTAINED
RU2539342C1 (en) * 2010-10-27 2015-01-20 Ханьнань Ппк Нетворк Текнолоджи Ко. Лтд Printing material with protection against forgery with thermally transferred pattern, special foil for thermal transfer and manufacturing method of such material
CN102955930B (en) * 2011-08-21 2021-05-11 深圳兆日科技股份有限公司 Anti-counterfeiting method and system using physical characteristics of substance to identify
CN202847076U (en) * 2012-10-31 2013-04-03 东莞虎彩印刷有限公司 Silver sand type holographic anti-counterfeiting shading master mask
GB2527508A (en) * 2014-06-23 2015-12-30 Anthony Furness Object-assisted identification label
CN104409014A (en) * 2014-12-30 2015-03-11 吴军明 Double-layer multiple anti-counterfeiting tag
CN106485256A (en) * 2016-10-10 2017-03-08 宋育锋 Double label relative position information construction methods based on SIFT feature point

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102737261A (en) * 2011-04-08 2012-10-17 吴善斌 Barcode inquiring marker and barcode generation method thereof
CN203149998U (en) * 2012-12-27 2013-08-21 深圳市世合科技有限公司 Bi-layer two-dimensional code label
US20150161915A1 (en) * 2013-12-10 2015-06-11 Ncr Corporation Adhesive label with water-based release coating
CN105117757A (en) * 2015-08-26 2015-12-02 复旦大学无锡研究院 Quick response code encryption and decryption method based on random textures
CN205581925U (en) * 2016-04-15 2016-09-14 大连声鹭科技有限公司 Anti -fake bar code label of nested type, anti -fake bar code tag information collector and anti -fake verification system

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Application publication date: 20170919