CN103886540B - Ellipse figure characteristic digital fingerprint embedding and detection method - Google Patents
Ellipse figure characteristic digital fingerprint embedding and detection method Download PDFInfo
- Publication number
- CN103886540B CN103886540B CN201410064607.6A CN201410064607A CN103886540B CN 103886540 B CN103886540 B CN 103886540B CN 201410064607 A CN201410064607 A CN 201410064607A CN 103886540 B CN103886540 B CN 103886540B
- Authority
- CN
- China
- Prior art keywords
- virtual
- ellipse
- point
- intersection point
- coordinate
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Collating Specific Patterns (AREA)
Abstract
The invention discloses an ellipse figure characteristic digital fingerprint embedding and a detection method, comprising steps of designing a group of virtual ellipse identifiers possessing identifier meanings, formulating embedding strategies of the figure fingerprint characteristic points, virtualizing the ellipse vector map digital fingerprint embedding process, detecting whether the coordinate series having more than two vertexes in the vector map data has intersection points with every virtual ellipse of a group of virtual ellipse figures, if yes, taking the related intersection points as the figure fingerprint characteristic points to insert into the coordinate series, and formulating a digital fingerprint detection method of the virtual ellipse figure characteristic.
Description
Technical field
The present invention relates to the copyright protection method in the fields such as vector figure data.
Digital technology develop rapidly and the Internet popularize the work to people and life brings huge facility.With
Digital media is that the graph image works of carrier are owing to its acquisition is easy, duplication is simple and propagates the advantages such as rapid, very big DIFENG
The rich life of people.But, utilize the behaviors of some malice that the opening of network and sharing carried out, such as invade version
Power, information are distorted, and seriously compromise the creator of copyright and the interests of user, and the owner of copyright is urgent
Need to solve intellectual property protection problem.Therefore multiple means is used copyright to be protected, infringer is punished
Have become as extremely urgent work.
In order to hit illegal acquisition and activities of transmission, some technological means of information security field are applied to copyright
Copyright protection, such as encryption technology, although add to a certain extent piracy difficulty, but user finally allows for making
With works content, otherwise product is utterly useless for legitimate buyer.Once works content is acquired, and the method for encryption is just
It is difficult to prevent the copy of product again and illegally have propagated.To this, external many scholars propose a series of new information security and protect
Protect thought, particularly propose brand-new strick precaution and guarantor in fields such as intellectual property protection, the anti-tamper and embedded annotations of information
Protect measure.Information hiding, digital watermarking are exactly one of new protecting digital product measure with Digital Fingerprinting Technology.Wherein numeral water
Print and digital finger-print are referred to as copyright technology, and it is specific information (such as copyright information, classified information etc.) to be embedded into
In the various digital products such as figure, image, voice, video and text, to reach the mesh such as mark, annotation and copyright protection
's.Meanwhile, under-effected to attract much attention and there is specific restoration methods to host cell of this information, this letter
Breath should be invisible, ND to illegal receiver.Both differ primarily in that digital watermark technology is only capable of effect
In the copyright authentication of digital product, but can't effectively stop the bootlegging of digital product;And Digital Fingerprinting Technology will be recognized
Card information (including manufacturer information, user profile, version number etc.) is hidden in the digital product that user is bought, and ties up with this
Protect the copyright of this product.The purpose of digital finger-print is to differentiate the original purchaser of a data object, the most once receives in transaction
The identity of side.On the premise of buyer cannot deny its purchasing behavior, owing to the error introduced in every part of copy is different,
Error from the copy illegally distributed again can trace into the original purchaser of data object, to reach to protect publisher's version
The purpose of right benefit.Although it can not prevent the illegal copies to digital product, but can be tracked illegal copies, thus
Illegal copies are played deterrent effect.
Summary of the invention
In order to overcome existing map vector data to be easily illegally duplicated, inversely be cracked and initial data Distortionless
Deficiency, the present invention provides one can be illegally duplicated effectively to solve map vector data, inversely be cracked and initial data
The map vector data copy-right protection method of the anti-interpretation Attack of Distortionless problem.
The technical solution adopted for the present invention to solve the technical problems is:
The digital finger-print of a kind of ellipse graphic feature embeds and detection method, and the numeral of described ellipse graphic feature refers to
Stricture of vagina embeds and comprises the following steps with detection method:
(1) one group of virtual oval mark with mark meaning, is designed;
(1.1), benchmark major and minor axis length a of virtual ellipse, b, 0≤a, 0≤b are determined
(1.2) one group of Elliptic System a with finger print information feature, is definedn, bn;
(1.3) central coordinate of circle (X of virtual ellipse, is definedn, Yn);
(1.4), by ellipse central coordinate of circle (Xn, Yn), Elliptic System length radius an, bnThis number of variables, constitutes and has mark
The specific virtual Elliptic System of meaning, includes digital finger-print information in this virtual Elliptic System;
(1.5), described virtual elliptic numerical finger print information can be by spreading over vectogram full figure;
(2), the embedding strategy of figure fingerprint feature point
(2.1), tangent with the line segment in map vector coordinate sequence when virtual ellipse, then point of contact is just inserted as characteristic point
Enter in map vector coordinate sequence;
(2.2), when the line segment intersection of virtual ellipse Yu vectogram coordinate sequence, and when having two intersection points, we only choose
First intersection point, and by the normal crossing shifting processing carrying out characteristic point;
(2.3), when virtual ellipse normally intersect with map vector coordinate sequence, and when intersection point overlaps with the end points of line segment,
So avoid the need for doing any process, directly using end points as graphic feature point;
(2.4), when virtual ellipse normally intersect with map vector coordinate sequence, but the spacing of intersection point and end points is less than one
During the error amount d of individual restriction, then just delete the most nearest end points, replace end points as graphic feature point using new intersection point;
(2.5), as the line segment (X in virtual ellipse with map vector coordinate sequence1, Y1)-(X2, Y2) normally intersect, and only
When having an intersection point, insert as characteristic point, in addition it is also necessary to eliminate three point on a straight line factor, use intersection point to move left and right one along ellipse
The error amount d of individual restriction;So in the two point, select that one of them characteristic point as graphic feature by rule of specialty
Point inserts map vector coordinate string.
(3), virtual oval map vector digital finger-print telescopiny, to map vector data has more than 2 summits
Coordinate sequence and each virtual ellipses detection of one group of virtual ellipse figure whether have intersection point, if there is intersection point, phase
Close intersection point to be inserted in coordinate sequence as figure fingerprint feature point, specific as follows:
(3.1), map vector coordinate sequence data are read;
(3.2) central coordinate of circle (X of virtual Elliptic System, is inputtedn, Yn);
(3.3) the major and minor axis radius (a of virtual Elliptic System, is inputtedn, bn);
(3.4), to adjacent 2 points in coordinate sequence data, it is judged that the virtual ellipse in virtual Elliptic SystemWith line segment (X1, Y1)-(X2, Y2Whether intersection point is had between);
(3.5) intersection point, is then set as (X, Y), then it must be (X1, Y1)-(X2, Y2) on line segment a bit, its (X, Y)
Coordinate can be by (X1, Y1)-(X2, Y2) 2 determine:
The intersection point (X, Y) that formula (2) is determined substitutes into known virtual elliptic equationObtain μ
Quadratic equation with one unknown A μ2+ B μ+C=0;
Wherein:
According to the rooting discriminant Δ in the quadratic equation with one unknown of μ, when Δ=0, line segment is tangent with virtual ellipse, works as Δ
During > 0, line segment intersects with virtual ellipse, and has two intersection points;As Δ < 0, line segment and ellipse do not have intersection point.Again trying to achieve μ
(2) formula of substitution, can try to achieve the coordinate figure of intersection point (X, Y) coordinate;
(3.6), finally according to virtual oval fingerprint feature point embedding strategy, graphic feature point is inserted into map vector and sits
(X in mark sequence1, Y1) and (X2, Y2Between), obtain that there is virtual ellipse figure characteristic fingerprint characteristic point and be distributed in entirety
Map vector data.
(4) the digital finger-print detection method of virtual ellipse figure feature, described detection method step is as follows:
(4.1), map vector coordinate sequence data are read;
(4.2), binary system copyright information is converted into X-Y scheme spatial information;
(4.3) input has the graphic parameter containing fingerprint characteristic;
(4.4), to adjacent 2 points in coordinate sequence data, it is judged that the virtual ellipse in virtual Elliptic SystemWith line segment (X1, Y1)-(X2, Y2Whether intersection point is had between);
(4.5) intersection point, is then set as (X, Y), then it must be (X1, Y1)-(X2, Y2) on line segment a bit, its (X, Y)
Coordinate can be by (X1, Y1)-(X2, Y2) 2 determine:
The intersection point (X, Y) that formula (3) is determined substitutes into known virtual elliptic equationObtain μ
Quadratic equation with one unknown A μ2+ B μ+C=0;
Wherein:
According to the rooting discriminant Δ in the quadratic equation with one unknown of μ, when Δ=0, line segment is tangent with virtual ellipse, works as Δ
During > 0, line segment intersects with virtual ellipse, and has two intersection points;As Δ < 0, line segment and ellipse do not have intersection point.Again trying to achieve μ
(3) formula of substitution, can try to achieve the coordinate figure of intersection point (X, Y) coordinate;
(4.6), according to trying to achieve the coordinate figure of intersection point (X, Y) coordinate, (the X of the extreme coordinates of line segment1, Y1) and (X2, Y2) enter
Row compares;Limit difference is in prescribed limit, during the error amount d that the spacing that i.e. intersection point is non-with end points limits less than, and this end points
As virtual ellipse figure feature information extraction out;
(4.6), by fingerprint feature information and non-fingerprint feature information are carried out statistical analysis, it is determined that fingerprint feature information
Existence.
The technology of the present invention core concept is to utilize whole geometry feature and the application characteristic of map vector data, by structure
Virtual ellipse graphic feature information, through graphics set computing, virtual ellipse graphic feature information with map vector number
It is embedded in vector figure data sequence according to the form of characteristic point, it is achieved that virtual ellipse graphic feature information and map vector
Organically blending of data, the set operation of figure possesses the uniqueness statement condition of copyright, thus efficiently solves explanation and attack
Hit the many copyright statements problem caused.
The invention have the advantage that efficiently solving map vector data is illegally duplicated, is inversely cracked and original number
Problem according to Distortionless.
Accompanying drawing explanation
Fig. 1 is the digital finger-print embedding principle schematic diagram of the ellipse graphic feature of the present invention.
Fig. 2 is the digital finger-print Cleaning Principle schematic diagram of the ellipse graphic feature of the present invention.
Fig. 3 is the schematic diagram that binary system copyright information is changed to ellipse figure spatial information.
Fig. 4 is the map vector being not embedded into finger print information.
Fig. 5 is the map vector having been inserted into finger print information, and wherein black round dot is the fingerprint feature information embedded.
Fig. 6 is the finger print information detection schematic diagram of existing finger print information map vector.
Detailed description of the invention
The invention will be further described below in conjunction with the accompanying drawings.
With reference to Fig. 1~Fig. 6, the digital finger-print of a kind of ellipse graphic feature embeds and detection method, described ellipse figure
The digital finger-print of shape feature embeds and comprises the following steps with detection method:
The specific works process of the present embodiment is:
(1), Fig. 3 be the schematic diagram that binary system copyright information is changed to X-Y scheme spatial information, detailed process is foundation
Binary system copyright information designs one group of virtual oval mark with mark meaning;
(1.1), benchmark major and minor axis length a of virtual ellipse, b, 0≤a, 0≤b are determined
(1.2) one group of Elliptic System a with finger print information feature, is definedn, bn;
(1.3) central coordinate of circle (X of virtual ellipse, is definedn, Yn);
(1.4), by ellipse central coordinate of circle (Xn, Yn), Elliptic System length radius an, bnThis number of variables, constitutes and has mark
The specific virtual Elliptic System of meaning, includes digital finger-print information in this virtual Elliptic System;
(1.5), described virtual elliptic numerical finger print information can be by spreading over vectogram full figure;
(2), the embedding strategy of figure fingerprint feature point
(2.1), tangent with the line segment in map vector coordinate sequence when virtual ellipse, then point of contact is just inserted as characteristic point
Enter in map vector coordinate sequence;
(2.2), when the line segment intersection of virtual ellipse Yu vectogram coordinate sequence, and when having two intersection points, we only choose
First intersection point, and by the normal crossing shifting processing carrying out characteristic point;
(2.3), when virtual ellipse normally intersect with map vector coordinate sequence, and when intersection point overlaps with the end points of line segment,
So avoid the need for doing any process, directly using end points as graphic feature point;
(2.4), when virtual ellipse normally intersect with map vector coordinate sequence, but the spacing of intersection point and end points is less than one
During the error amount d of individual restriction, then just delete the most nearest end points, replace end points as graphic feature point using new intersection point;
(2.5), as the line segment (X in virtual ellipse with map vector coordinate sequence1, Y1)-(X2, Y2) normally intersect, and only
When having an intersection point, insert as characteristic point, in addition it is also necessary to eliminate three point on a straight line factor, use intersection point to move left and right one along ellipse
The error amount d of individual restriction;So in the two point, select that one of them characteristic point as graphic feature by rule of specialty
Point inserts map vector coordinate string.
(3), Fig. 5 be the map vector having been inserted into finger print information, wherein black round dot be embed fingerprint feature information, its
Virtual oval map vector digital finger-print telescopiny is, to the coordinate sequence in map vector data with more than 2 summits
Whether have intersection point with each virtual ellipses detection of one group of virtual ellipse figure, if there is intersection point, using relevant intersection as
Figure fingerprint feature point is inserted in coordinate sequence, specific as follows:
(3.1), map vector coordinate sequence data are read;
(3.2) central coordinate of circle (X of virtual Elliptic System, is inputtedn, Yn);
(3.3) the major and minor axis radius (a of virtual Elliptic System, is inputtedn, bn);
(3.4), to adjacent 2 points in coordinate sequence data, it is judged that the virtual ellipse in virtual Elliptic SystemWith line segment (X1, Y1)-(X2, Y2Whether intersection point is had between);
(3.5) intersection point, is then set as (X, Y), then it must be (X1, Y1)-(X2, Y2) on line segment a bit, its (X, Y)
Coordinate can be by (X1, Y1)-(X2, Y2) 2 determine:
The intersection point (X, Y) that formula (2) is determined substitutes into known virtual elliptic equationObtain μ
Quadratic equation with one unknown A μ2+ B μ+C=0;
Wherein:
According to the rooting discriminant Δ in the quadratic equation with one unknown of μ, when Δ=0, line segment is tangent with virtual ellipse, works as Δ
During > 0, line segment intersects with virtual ellipse, and has two intersection points;As Δ < 0, line segment and ellipse do not have intersection point.Again trying to achieve μ
(2) formula of substitution, can try to achieve the coordinate figure of intersection point (X, Y) coordinate;
(3.6), finally according to virtual oval fingerprint feature point embedding strategy, graphic feature point is inserted into map vector and sits
(X in mark sequence1, Y1) and (X2, Y2Between), obtain that there is virtual ellipse figure characteristic fingerprint characteristic point and be distributed in entirety
Map vector data.
(4) Fig. 6 is the digital finger-print detection process of virtual ellipse figure feature, and described detection method step is as follows:
(4.1), map vector coordinate sequence data are read;
(4.2), binary system copyright information is converted into X-Y scheme spatial information;
(4.3) input has the graphic parameter containing fingerprint characteristic;
(4.4), to adjacent 2 points in coordinate sequence data, it is judged that the virtual ellipse in virtual Elliptic SystemWith line segment (X1, Y1)-(X2, Y2Whether intersection point is had between);
(4.5) intersection point, is then set as (X, Y), then it must be (X1, Y1)-(X2, Y2) on line segment a bit, its (X, Y)
Coordinate can be by (X1, Y1)-(X2, Y2) 2 determine:
The intersection point (X, Y) that formula (3) is determined substitutes into known virtual elliptic equationObtain μ
Quadratic equation with one unknown A μ2+ B μ+C=0;
Wherein:
According to the rooting discriminant Δ in the quadratic equation with one unknown of μ, when Δ=0, line segment is tangent with virtual ellipse, works as Δ
During > 0, line segment intersects with virtual ellipse, and has two intersection points;As Δ < 0, line segment and ellipse do not have intersection point.Again trying to achieve μ
(3) formula of substitution, can try to achieve the coordinate figure of intersection point (X, Y) coordinate;
(4.6), according to trying to achieve the coordinate figure of intersection point (X, Y) coordinate, (the X of the extreme coordinates of line segment1, Y1) and (X2, Y2) enter
Row compares;Limit difference is in prescribed limit, during the error amount d that the spacing that i.e. intersection point is non-with end points limits less than, and this end points
As virtual ellipse figure feature information extraction out;
(4.6), by fingerprint feature information and non-fingerprint feature information are carried out statistical analysis, it is determined that fingerprint feature information
Existence.
Claims (1)
1. the digital finger-print of ellipse graphic feature embeds and a detection method, comprises the following steps:
(1) one group of virtual oval mark with mark meaning, is designed;
(1.1), benchmark major and minor axis length a of virtual ellipse, b, 0≤a, 0≤b are determined
(1.2) one group of Elliptic System a with finger print information feature, is definedn, bn;
(1.3) central coordinate of circle (X of virtual ellipse, is definedn, Yn);
(1.4), by ellipse central coordinate of circle (Xn, Yn), Elliptic System length radius an, bnThis number of variables, constitutes and has mark meaning
Specific virtual Elliptic System, this virtual Elliptic System includes digital finger-print information;
(1.5), described virtual elliptic numerical finger print information can be by spreading over vectogram full figure;
(2) embedding strategy of figure fingerprint feature point, is worked out;
(2.1), tangent with the line segment in map vector coordinate sequence when virtual ellipse, then point of contact is just inserted as characteristic point and vowed
In quantity map coordinate sequence;
(2.2), when the line segment intersection of virtual ellipse Yu vectogram coordinate sequence, and when having two intersection points, we only choose first
Individual intersection point, and by the normal crossing shifting processing carrying out characteristic point;
(2.3), when virtual ellipse normally intersect with map vector coordinate sequence, and when intersection point overlaps with the end points of line segment, then
Avoid the need for doing any process, directly using end points as graphic feature point;
(2.4), when virtual ellipse normally intersect with map vector coordinate sequence, but the spacing of intersection point and end points is less than a limit
During fixed error amount d, then just delete the most nearest end points, replace end points as graphic feature point using new intersection point;
(2.5), as the line segment (X in virtual ellipse with map vector coordinate sequence1, Y1)-(X2, Y2) normally intersect, and only one
During individual intersection point, insert as characteristic point, in addition it is also necessary to eliminate three point on a straight line factor, use intersection point to move left and right a limit along ellipse
Fixed error amount d;So in the two point, one of them characteristic point is selected to insert vector as graphic feature point by rule of specialty
Map reference string;
(3), virtual oval map vector digital finger-print telescopiny, to the seat in map vector data with more than 2 summits
Whether mark sequence has intersection point with each virtual ellipses detection of one group of virtual ellipse figure, if there is intersection point, hands over relevant
Point is inserted in coordinate sequence as figure fingerprint feature point, specific as follows:
(3.1), map vector coordinate sequence data are read;
(3.2) central coordinate of circle (X of virtual Elliptic System, is inputtedn, Yn);
(3.3) the major and minor axis radius (a of virtual Elliptic System, is inputtedn, bn);
(3.4), to adjacent 2 points in coordinate sequence data, it is judged that the virtual ellipse in virtual Elliptic SystemWith line segment (X1, Y1)-(X2, Y2Whether intersection point is had between);
(3.5) intersection point, is then set as (X, Y), then it must be (X1, Y1)-(X2, Y2) on line segment a bit, its (X, Y) coordinate can
With by (X1, Y1)-(X2, Y2) 2 determine:
The intersection point (X, Y) that formula (2) is determined substitutes into known virtual elliptic equationObtain μ unitary
Quadratic equation A μ2+ B μ+C=0;
Wherein:
According to the rooting discriminant Δ in the quadratic equation with one unknown of μ, when Δ=0, line segment is tangent with virtual ellipse, as Δ > 0
Time, line segment intersects with virtual ellipse, and has two intersection points;As Δ < 0, line segment and ellipse do not have intersection point;Substitute into trying to achieve μ again
(2) formula, can try to achieve the coordinate figure of intersection point (X, Y) coordinate;
(3.6), finally according to virtual oval fingerprint feature point embedding strategy, graphic feature point is inserted into map vector coordinate sequence
(X in row1, Y1) and (X2, Y2Between), obtain that there is virtual ellipse figure characteristic fingerprint characteristic point and be distributed in the vector of entirety
Map datum;
(4) working out the digital finger-print detection method of virtual ellipse figure feature, described detection method step is as follows:
(4.1), map vector coordinate sequence data are read;
(4.2), binary system copyright information is converted into X-Y scheme spatial information;
(4.3), input has the graphic parameter containing fingerprint characteristic;
(4.4), to adjacent 2 points in coordinate sequence data, it is judged that the virtual ellipse in virtual Elliptic SystemWith line segment (X1, Y1)-(X2, Y2Whether intersection point is had between);
(4.5) intersection point, is then set as (X, Y), then it must be (X1, Y1)-(X2, Y2) on line segment a bit, its (X, Y) coordinate can
With by (X1, Y1)-(X2, Y2) 2 determine:
The intersection point (X, Y) that formula (3) is determined substitutes into known virtual elliptic equationObtain μ unitary
Quadratic equation A μ2+ B μ+C=0;
Wherein:
According to the rooting discriminant Δ in the quadratic equation with one unknown of μ, when Δ=0, line segment is tangent with virtual ellipse, as Δ > 0
Time, line segment intersects with virtual ellipse, and has two intersection points;As Δ < 0, line segment and ellipse do not have intersection point;Substitute into trying to achieve μ again
(3) formula, can try to achieve the coordinate figure of intersection point (X, Y) coordinate;
(4.6), according to trying to achieve the coordinate figure of intersection point (X, Y) coordinate, (the X of the extreme coordinates of line segment1, Y1) and (X2, Y2) compare
Relatively;Limit difference is in prescribed limit, and during the error amount d that i.e. spacing of intersection point and end points limits less than, this end points is as void
Intend ellipse figure feature information extraction out;
(4.7), by fingerprint feature information and non-fingerprint feature information are carried out statistical analysis, it is determined that depositing of fingerprint feature information
Property.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410064607.6A CN103886540B (en) | 2014-02-26 | 2014-02-26 | Ellipse figure characteristic digital fingerprint embedding and detection method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410064607.6A CN103886540B (en) | 2014-02-26 | 2014-02-26 | Ellipse figure characteristic digital fingerprint embedding and detection method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN103886540A CN103886540A (en) | 2014-06-25 |
CN103886540B true CN103886540B (en) | 2017-01-11 |
Family
ID=50955417
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410064607.6A Active CN103886540B (en) | 2014-02-26 | 2014-02-26 | Ellipse figure characteristic digital fingerprint embedding and detection method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN103886540B (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106997578A (en) * | 2017-03-03 | 2017-08-01 | 浙江工业大学 | A kind of digital finger-print insertion of parabola graphic feature and detection method |
CN106991300A (en) * | 2017-03-03 | 2017-07-28 | 浙江工业大学 | A kind of digital finger-print insertion of hyperbola graphic feature and detection method |
CN108460373B (en) * | 2018-05-02 | 2021-11-30 | 厦门天马微电子有限公司 | Fingerprint sensor and display panel |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101246586A (en) * | 2008-02-22 | 2008-08-20 | 华南师范大学 | Vector map watermarking method based on curve segmentation |
CN101604440A (en) * | 2009-04-23 | 2009-12-16 | 哈尔滨工程大学 | Treatment method for reversibly watermarking vector map based on space characteristics |
US8320606B1 (en) * | 2008-08-29 | 2012-11-27 | Adobe Systems Incorporated | Video watermarking with fast detection |
CN102968757A (en) * | 2012-09-28 | 2013-03-13 | 浙江工业大学 | Vector map watermark embedding method and detection method based on virtual circle |
CN102982500A (en) * | 2012-09-28 | 2013-03-20 | 浙江工业大学 | Watermark embedding method and watermark detection method of vector map based on virtual grids |
-
2014
- 2014-02-26 CN CN201410064607.6A patent/CN103886540B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101246586A (en) * | 2008-02-22 | 2008-08-20 | 华南师范大学 | Vector map watermarking method based on curve segmentation |
US8320606B1 (en) * | 2008-08-29 | 2012-11-27 | Adobe Systems Incorporated | Video watermarking with fast detection |
CN101604440A (en) * | 2009-04-23 | 2009-12-16 | 哈尔滨工程大学 | Treatment method for reversibly watermarking vector map based on space characteristics |
CN102968757A (en) * | 2012-09-28 | 2013-03-13 | 浙江工业大学 | Vector map watermark embedding method and detection method based on virtual circle |
CN102982500A (en) * | 2012-09-28 | 2013-03-20 | 浙江工业大学 | Watermark embedding method and watermark detection method of vector map based on virtual grids |
Also Published As
Publication number | Publication date |
---|---|
CN103886540A (en) | 2014-06-25 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Shafieinejad et al. | On the robustness of backdoor-based watermarking in deep neural networks | |
Zhu et al. | Secure neural network watermarking protocol against forging attack | |
CN105303069B (en) | A kind of system for numeral copyright management and method | |
CN106126982B (en) | A kind of PDF document copy-right protection method based on digital finger-print | |
CN107169325A (en) | Copyright information protection, really power method, device, system and content editing device | |
Schmid et al. | Netlist-level IP protection by watermarking for LUT-based FPGAs | |
CN103886540B (en) | Ellipse figure characteristic digital fingerprint embedding and detection method | |
CN102968757A (en) | Vector map watermark embedding method and detection method based on virtual circle | |
CN103226674B (en) | A kind ofly recover dual core watermark authentication method based on FPGA technology | |
Guo et al. | Fingerprinting relational databases | |
CN110223213B (en) | Vector space data digital fingerprint method for GD-PBIBD coding | |
Kankanhalli et al. | Watermarking of electronic text documents | |
CN113987581A (en) | Method for data security protection and traceability check of intelligent security community platform | |
CN103971324B (en) | Asymmetric watermarking method for protecting vector map data copyright | |
Huang et al. | Smart contract watermarking based on code obfuscation | |
CN103279915B (en) | Based on the figure watermark embedding method of virtual pattern bar code | |
CN108564520A (en) | GIS vector data copyright authentication method based on not blue index | |
CN106991300A (en) | A kind of digital finger-print insertion of hyperbola graphic feature and detection method | |
CN103886228A (en) | Method for embedding and detecting digital fingerprints with grid type graphic features | |
CN102096780B (en) | Rapid detection method of digital fingerprints under large-scale user environment | |
CN103886539A (en) | Embedding and detection method of circular characteristic digit fingerprint | |
CN115051853A (en) | Digital collection platform system | |
CN103440614A (en) | Three-dimensional grid data protection method based on virtual graphic watermark | |
CN106997578A (en) | A kind of digital finger-print insertion of parabola graphic feature and detection method | |
Dalla Preda et al. | Exploring NFT Validation through Digital Watermarking |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
TR01 | Transfer of patent right |
Effective date of registration: 20200914 Address after: 221600 north side of Pei highway and east side of Hanrun Road (room 2013, building 6, science and technology entrepreneurship Park), Peixian Economic Development Zone, Xuzhou City, Jiangsu Province Patentee after: Peixian Duchuang Technology Development Co., Ltd Address before: 310014 Hangzhou city in the lower reaches of the city of Zhejiang Wang Road, No. 18 Patentee before: ZHEJIANG University OF TECHNOLOGY |
|
TR01 | Transfer of patent right |