CN102013088A - Digital watermark generation and embedding method based on comprehensive characteristics of digital archival resources - Google Patents
Digital watermark generation and embedding method based on comprehensive characteristics of digital archival resources Download PDFInfo
- Publication number
- CN102013088A CN102013088A CN 201010554833 CN201010554833A CN102013088A CN 102013088 A CN102013088 A CN 102013088A CN 201010554833 CN201010554833 CN 201010554833 CN 201010554833 A CN201010554833 A CN 201010554833A CN 102013088 A CN102013088 A CN 102013088A
- Authority
- CN
- China
- Prior art keywords
- digital
- resource
- digital resource
- feature
- characteristic quantity
- 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.)
- Granted
Links
Images
Landscapes
- Image Processing (AREA)
- Editing Of Facsimile Originals (AREA)
Abstract
The invention discloses a digital watermark generation and embedding method based on comprehensive characteristics of digital archival resources. A comprehensive characteristic database of the digital resources is established by analyzing a comprehensive characteristic set of the digital resources and a comprehensive characteristic quantity set, and characteristic quantity is extracted from the digital resources. The extracted characteristic quantity is encrypted and then stored in the characteristic database, a digital watermark is simultaneously generated from the extracted characteristic quantity according to the characteristics of the digital resources by using different algorithms, and the digital watermark embedding algorithm is utilized for embedding the generated digital watermark into the digital resources; when primitiveness, integrity, authenticity and uniqueness of the digital resources are identified, the embedded digital watermark can be extracted through the digital watermark extraction algorithm according to the type of the digital resources, and the characteristic quantity of the digital resources in the watermark is further extracted and subject to contrast detection of the comprehensive characteristics with the characteristic quantity of the digital resources or the characteristic quantity in the characteristic database, thereby realizing the primitiveness, integrity and authenticity detection on the digital resources. The method is widely used in archives and units for management of the digital resources.
Description
Technical field
The present invention relates to the Computer Image Processing method.Be specifically related to digital watermarking generation and embedding grammar based on the digital resource comprehensive characteristics.
Background technology
At present, the relevant data digital watermark, the information that mainly contains the user and the producer is embedded in the document as watermark, file and picture semi-fragile watermarking algorithm based on dct transform, with significant bianry image as watermarking images, embed watermark in the vision intermediate frequency coefficient, the Hu invariant moments of token image RICM is encoded to the content watermark information to be embedded in the original image, digital watermarking algorithm based on the authentication of the digital image content of JPEG 2000, solution based on the digital watermarking algorithm of wavelet field image authentication, Fragile Watermark Algorithm based on genetic algorithm, fragile watermark authentication techniques based on picture material, by producing the input key and key being carried out sequence of operations, carry out fragile watermark then and embed algorithm or the like.
Relevant digital content Jianzhen's protection aspect, major technology has the digital image content authenticating method based on small echo and DCT dual domain, characterize and the picture material protection algorithm of displacement not based on area contents, Outsourced database content protecting technology based on digital watermarking, by going back of user biological feature, and to its encryption, reached the purpose of digital content protection, by key K being encrypted to reach method to digital content access control, by the original digital content eigenwert is extracted, and the eigenwert of the digital content of inspection examine, and by relatively, to detect the consistance of digital content, the employing particular technology writes down the use vestige with managing digital content, the content service system comprises this digital content is carried out the needed information of business processing in the application scenarios of correspondence content sign according to the relevant information generation of digital content; According to predefine rule chosen content sampling algorithm and business cipher key; Carry out the content sampling algorithm and from digital content, obtain sample information, and indicate and business cipher key generation message authentication code according to this sample information, described content; And content indicated and message authentication code embeds in the described digital content; generation can authenticate takes digital content; specified the characteristic information of this digital content that identifies by generation; and based on this characteristic information for example based on the comparison of the characteristic information of having specified this digital content that identifies and a plurality of characteristic informations; determine the right to use of this digital content of identifying; id information is added to the precalculated position of content; perhaps form that also can spatial frequency is added it on the whole contents to; by from the original contents that receives, resolving and select information, and the information combination of selecting is encrypted; recoveries etc. are protected the digital content that receives.
Existing various digital watermarking generation and embedded technology; all be with author's sequence number, unit marking, the text etc. of Special Significance arranged and carry out digital watermarking by original image being utilized various algorithms generate watermark informations; it mainly acts on is the legal use of protecting multimedia electric documents such as image; sign is to the ownership of digital product; can differentiate object be protected; monitor the propagation of protected data, discern the false from the genuine and prevent illegal copies, handle dispute over copyright etc.
Utilize one-side information to have positive meaning and certain effect at digital content protection and data content Jianzhen as digital watermarking; but existence is carried out content primitiveness, integrality, authenticity, uniqueness to the data resource and is guaranteed that comprehensively detection is comprehensive not enough, can't reflect the defective of digital resource feature comprehensively.
Summary of the invention
The purpose of this invention is to provide a kind of digital watermarking generation and embedding grammar that is used to guarantee digital resource integrality, authenticity, primitiveness based on digital archives resource comprehensive feature.
In order to overcome the deficiencies in the prior art, technical scheme of the present invention is to solve like this: a kind of digital watermarking generation method based on digital archives resource comprehensive feature, and the following step of this method eucalyptus is carried out:
(1), digital resource is divided into validity feature collection S by primitiveness and uniqueness requirement, described validity feature collection S=v
1, v
2..., v
n, v wherein
iBe the feature in a certain respect of digital resource, v
iComplete form be v
i=p
1, p
2..., p
m, p
jBe v
iJ characteristic parameter, validity feature collection S are the feature sets in full force and effect of digital resource primitiveness, and this validity feature collection S comprises physical features, information characteristics, checking data, the canned data of digital resource, the essential characteristic of copyright information;
(2), the comprehensive characteristics of digital resource is selected and analyzed, set up digital resource comprehensive characteristics storehouse;
(3), according to the feature set that signature analysis is selected, meter is calculated the characteristic quantity of individual features collection from the original figure resource;
(4) the feature set characteristic quantity that extracts is carried out storing in the digital resource comprehensive characteristics storehouse after the encryption;
(5), adopt different algorithms, will calculate the feature set characteristic quantity that extracts and generate digital watermarking, and utilize the digital watermarking embedded technology that the digital watermarking that generates is embedded in the digital resource according to the type of digital resource;
(6), before carrying out the checking of digital resource comprehensive characteristics, type according to digital resource, utilize the digital watermarking extraction algorithm from digital resource, to extract the watermark that embeds, from watermark, separate the original comprehensive characteristics amount of digital resource, and calculate the current comprehensive characteristics collection characteristic quantity of digital resource;
(7) signature verification: determine by the integrity checking of digital watermarking in the digital resource whether the digital resource digital resource occurs distorting; By current feature set characteristic quantity that digital resource is extracted with from watermark, mention the feature set characteristic quantity that separates and compare one by one, can judge that digital resource utilizes in the process and whether distorted in storage, transmission; By to mentioning the feature set characteristic quantity of separation in the current feature set characteristic quantity of digital resource, the watermark and the feature set characteristic quantity in the digital resource storehouse compares, can effectively detect integrality, the primitiveness of digital resource.
The quantitative analysis of described comprehensive characteristics collection feature is divided into validity feature collection S with digital resource by primitiveness and uniqueness requirement, described validity feature collection S=v
1, v
2..., v
n, v wherein
iBe the feature in a certain respect of digital resource, v
iComplete form be v
i=p
1, p
2..., p
m, p
jBe v
iJ characteristic parameter, validity feature collection S are the feature sets in full force and effect of digital resource primitiveness, and this validity feature collection S comprises physical features, information characteristics, checking data, the canned data of digital resource, the essential characteristic of copyright information:
Described physical features is weight, the size of contents of size, resolution, content;
Described information characteristics is the histogram of color component level and vertical projection, each color component;
Described checking data be the pixel row and column verification and;
Described canned data is establishment, the modification time of resource file, sizes of memory;
Described copyright information is unique identifier, the owner, person liable, resource time of filing, classified information, security information.
The foundation in described digital resource comprehensive characteristics storehouse, after analyzing the comprehensive characteristics collection characteristic quantity of determining digital resource, the most original digital resource comprehensive characteristics information that has this digital resource for the original owner who guarantees digital resource, utilize database technology and file storage technology, set up digital resource comprehensive characteristics storehouse.
Described feature set features extraction: by analysis to digital resource comprehensive feature, determine the comprehensive characteristics collection characteristic quantity of use, the original figure resource is measured calculating and analysis, extract digital resource comprehensive characteristics collection characteristic quantity, determine the non-physical features amount of digital resource simultaneously according to owner information, the copyright information analysis of digital resource.
Described storage of setting up digital resource feature set characteristic quantity: utilize reversible algorithm to carry out depositing in the digital resource comprehensive characteristics storehouse after the encryption after all the feature set characteristic quantities that will mention acquisition convert unified format to.
Described digital watermarking generates and embeds: to the digital resource feature set characteristic quantity that extracts, generate digital watermarking according to the watermark generating algorithm, the generation of digital watermarking will be adopted different algorithms according to the type of digital resource, adopt the transform domain digital watermark technology to generate digital watermarking for incompressible image media, adopt discrete cosine transform DCT area image watermark generation technique to generate digital watermarking the compressed image medium.
Described numerical characteristic collection features extraction: the digital resource to embed watermark utilizes the digital watermarking extractive technique, extracts digital watermarking, and according to the reverse digital resource comprehensive characteristics collection characteristic quantity that extracts in the watermark of digital watermarking generating algorithm; Calculate the digital resource comprehensive characteristics collection characteristic quantity of current digital resource simultaneously according to the feature set characteristic quantity of analyzing.
The signature verification of described digital resource feature set characteristic quantity: after having extracted the comprehensive characteristics collection characteristic quantity that is embedded in the digital resource, digital resource is distorted Jianzhen and primitiveness, integrity detection comprise three aspects:
(1), digital watermarking detects: by the watermark that digital resource is embedded, utilize the digital watermarking extraction algorithm to extract, detect the integrality of digital watermarking, under the situation that digital resource is distorted or primitiveness is destroyed, watermark will be destroyed simultaneously, it is imperfect that the watermark extracting algorithm can't extract the digital watermarking of watermark or extraction, and the detection by to the watermark of extracting can detect resource and be distorted or lose integrality;
(2), digital resource self check: can extract digital watermarking, comprehensive characteristics collection characteristic quantity that utilization is extracted from digital watermarking and current digital resource calculate extraction comprehensive characteristics collection characteristic quantity and compare detection, detect the integrality of digital resource, this detection can effectively detect various distort change and the integrity verifications of digital resource in the transmission use;
(3), feature database detects: the feature set characteristic quantity that separates in the digital watermarking in the front, current digital resource are calculated the feature set characteristic quantity that obtains and the feature set characteristic quantity in the digital resource comprehensive characteristics storehouse compares checking, whether consistent, realize the primitiveness of digital resource and the checking of integrality if detecting three feature set characteristic quantities.
The present invention is by choosing the physical features of digital resource; information characteristics; checking data; canned data; comprehensive characteristics such as copyright information; the comprehensive characteristics of digital resource is selected and analyzed; set up digital resource comprehensive characteristics storehouse; type according to digital resource adopts different algorithms; generate digital watermarking; and utilize the digital watermarking embedded technology that the digital watermarking that generates is embedded in the digital resource; vertical at digital resource; laterally use; in the transmission course; check and analysis are carried out in watermark to digital resource; the comparison and detection of comprehensive characteristics reaches digital resource primitiveness; integrality; the protection of authenticity is differentiated.
The present invention compared with prior art, the present invention utilizes digital watermarking generation and the embedded technology based on comprehensive characteristics such as digital resource physical features, information characteristics, checking data, canned data, copyright informations, set up digital resource comprehensive characteristics storehouse simultaneously, carrying out the characteristic information that watermark comprises by the digital watermark information that extract to embed compares with the characteristic information of the extraction of analysis, with the contrast of characteristic quantity in the resource characteristic storehouse, can do comprehensive detection to vertical transmission, the primitiveness of lateral transport use, integrality, the authenticity of digital resource.And have following characteristics:
1, distort detection: by the digital watermarking algorithm based on the digital resource comprehensive characteristics, digital resource content is comprised virus, the inspection rate that hacker, malice are distorted, contingent etc. distorted reaches 100%;
2, primitiveness detects: by digital watermarking algorithm and the digital resource comprehensive characteristics information bank based on the digital resource comprehensive characteristics, the comprehensive characteristics of digital resource is compared checking, primitiveness, the integrity detection effect of digital resource reached 100%;
3, security: under or the situation about being cracked open, so can pass through digital resource comprehensive characteristics information bank, finish the primitiveness to digital resource, the detection of integrality at watermarking algorithm;
4, have concurrently and distort Jianzhen and copyright protection: the digital resource comprehensive characteristics has digital resource feature and copyright information concurrently, and based on front 2 points, the present invention has also possessed the function of digital resource copyright protection in protection digital resource integrality, primitiveness.
The present invention is widely used in primitiveness, integrality and the authenticity detection validation of various digital resources.
Description of drawings
Fig. 1 is a structural principle synoptic diagram of the present invention;
Fig. 2 is the characteristic information warehouse-in process flow diagram of Fig. 1;
Fig. 3 is that the watermark of Fig. 1 generates the embedding process flow diagram;
Fig. 4 is that the digital synthesis feature watermark of Fig. 1 extracts process flow diagram;
Fig. 5 is the digital synthesis signature verification process flow diagram of Fig. 1.
Embodiment
Accompanying drawing is an embodiment of the present invention.
Below in conjunction with drawings and Examples summary of the invention is described further:
With reference to shown in Figure 1, a kind of digital watermarking generation and embedding grammar based on digital archives resource comprehensive feature, the following step of this method eucalyptus is carried out:
(1), digital resource is divided into validity feature collection S by primitiveness and uniqueness requirement, described validity feature collection S=v
1, v
2..., v
n, v wherein
iBe the feature in a certain respect of digital resource, v
iComplete form be v
i=p
1, p
2..., p
m, p
jBe v
iJ characteristic parameter, validity feature collection S are the feature sets in full force and effect of digital resource primitiveness, and this validity feature collection S comprises physical features, information characteristics, checking data, the canned data of digital resource, the essential characteristic of copyright information;
(2), the comprehensive characteristics of digital resource is selected and analyzed, set up digital resource comprehensive characteristics storehouse;
(3), according to the feature set that signature analysis is selected, meter is calculated the characteristic quantity of individual features collection from the original figure resource;
(4) the feature set characteristic quantity that extracts is carried out storing in the digital resource comprehensive characteristics storehouse after the encryption;
(5), adopt different algorithms, will calculate the feature set characteristic quantity that extracts and generate digital watermarking, and utilize the digital watermarking embedded technology that the digital watermarking that generates is embedded in the digital resource according to the type of digital resource;
(6), before carrying out the checking of digital resource comprehensive characteristics, type according to digital resource, utilize the digital watermarking extraction algorithm from digital resource, to extract the watermark that embeds, from watermark, separate the original comprehensive characteristics amount of digital resource, and calculate the current comprehensive characteristics collection characteristic quantity of digital resource;
(7) signature verification: determine by the integrity checking of digital watermarking in the digital resource whether the digital resource digital resource thick high being somebody's turn to do occur; By current feature set characteristic quantity that digital resource is extracted with from watermark, mention the feature set characteristic quantity that separates and compare one by one, can judge that digital resource utilizes in the process and whether distorted in storage, transmission; By to mentioning the feature set characteristic quantity of separation in the current feature set characteristic quantity of digital resource, the watermark and the feature set characteristic quantity in the digital resource storehouse compares, can effectively detect digital resource also integrality, primitiveness.
The quantitative analysis of described comprehensive characteristics collection feature is digital resource to be divided into validity feature collection S by primitiveness and uniqueness requirement, described validity feature collection S=v
1, v
2..., v
n, v wherein
iBe the feature in a certain respect of digital resource, v
iComplete form be v
i=p
1, p
2..., p
m, p
jBe v
iJ characteristic parameter, validity feature collection S are the feature sets in full force and effect of digital resource primitiveness, and this validity feature collection S comprises physical features, information characteristics, checking data, the canned data of digital resource, the essential characteristic of copyright information:
Physical features: the weight of size, resolution, content, size of contents;
Information characteristics: the histogram of color component level and vertical projection, each color component;
Checking data: the verification of pixel row and column and;
Canned data: the establishment of resource file, modification time, sizes of memory;
Copyright information: unique identifier, the owner, person liable, resource time of filing, classified information, security information;
Shown in Figure 2, the foundation in described digital resource comprehensive characteristics storehouse is, after analyzing the comprehensive characteristics collection characteristic quantity of determining digital resource, the most original digital resource comprehensive characteristics information that has this digital resource for the original owner who guarantees digital resource, utilize database technology and file storage technology, set up digital resource comprehensive characteristics storehouse.
Described collection features extraction is: by the analysis to digital resource comprehensive feature, determine the comprehensive characteristics collection characteristic quantity of use, the original figure resource is measured calculating and analysis, extract digital resource comprehensive characteristics collection characteristic quantity, determine the non-physical features amount of digital resource simultaneously according to owner information, the copyright information analysis of digital resource.
Described to setting up the storage of digital resource feature set characteristic quantity, after converting unified format to, all feature set characteristic quantities that are about to mention acquisition utilize reversible algorithm to carry out depositing in the digital resource comprehensive characteristics storehouse after the encryption.
Shown in Figure 3, described digital watermarking generates and embeds: to the digital resource feature set characteristic quantity that extracts, according to the different disposal route of type employing of digital resource.If digital resource is a black and white two-value type, append in the original figure resource data after then the feature set characteristic quantity that extracts being formatd; To the digital resource of non-black and white two-value type, adopt the transform domain digital watermark technology to generate embed digital watermark for incompressible image media, adopt discrete cosine transform DCT area image watermark generation technique to generate embed digital watermark to the compressed image medium.
Shown in Figure 4, described numerical characteristic collection features extraction is: the digital resource to embed watermark utilizes the digital watermarking extractive technique, according to the different watermark extracting method of type employing of digital resource.For the digital resource of black and white two-value type, will from the original figure resource data, extract additional digital watermarking; Digital resource to non-black and white two-value type, adopt the transform domain digital watermark technology to extract digital watermarking for incompressible image media, the feature set characteristic quantity of decomposition water India and China adopts discrete cosine transform DCT area image digital watermark to extract digital watermarking to the compressed image medium.
Shown in Figure 5, the signature verification of described digital resource feature set characteristic quantity: after having extracted the comprehensive characteristics collection characteristic quantity that is embedded in the digital resource, digital resource is distorted Jianzhen and primitiveness, integrity detection three aspects:
(1), digital watermarking detects: by the watermark that digital resource is embedded, utilize the digital watermarking extraction algorithm to extract, detect the integrality of digital watermarking, under the situation that digital resource is distorted or primitiveness is destroyed, watermark will be destroyed simultaneously, it is imperfect that the watermark extracting algorithm can't extract the digital watermarking of watermark or extraction, and the detection by to the watermark of extracting can detect resource and be distorted or lose integrality;
(2), digital resource self check: can extract digital watermarking, comprehensive characteristics collection characteristic quantity that utilization is extracted from digital watermarking and current digital resource calculate extraction comprehensive characteristics collection characteristic quantity and compare detection, detect the integrality of digital resource, this detection can effectively detect various distort change and the integrity verifications of digital resource in the transmission use;
(3), feature database detects: the feature set characteristic quantity that separates in the digital watermarking in the front, current digital resource are calculated the feature set characteristic quantity that obtains and the feature set characteristic quantity in the digital resource comprehensive characteristics storehouse compares checking, whether the feature set characteristic quantity is consistent in the detection three, realizes the primitiveness of digital resource and the checking of integrality.
The present invention is by choosing the physical features of digital resource; information characteristics; checking data; canned data; comprehensive characteristics such as copyright information; the comprehensive characteristics of digital resource is selected and analyzed; set up digital resource comprehensive characteristics storehouse; type according to digital resource adopts different algorithms; generate digital watermarking; and utilize the digital watermarking embedded technology that the digital watermarking that generates is embedded in the digital resource; vertical at digital resource; laterally use; in the transmission course; check and analysis are carried out in watermark to digital resource; the comparison and detection of comprehensive characteristics reaches digital resource primitiveness; integrality; the protection of authenticity is differentiated.
The characteristics of the maximum of the information resources of digital resource and original paper are exactly on the primitiveness of primitiveness attached to form of paper resources content, people can confirm and confirm the primitiveness of content by the primitiveness of form, the content of digital archive and form are relatively independent, not only content is easy to change, and lost fixing form, have the characteristics duplicating, propagate, revise and delete of being easy to.Size, size of contents, carrier information, copyright information are the principal characters of paper resources; For digital resource, the spy of digital resource changes many.
The physical features of digital resource, canned data, reflection be the intuitionistic feature of digital resource; Information characteristics, calibration feature are the digital resource internal features, have determined that the inside of digital resource constitutes; Copyright information has reacted will counting substantially of digital resource.Comprehensive by these characteristic informations, the composition structure of reference numerals resource comprehensively.Any a certain feature that all can influence wherein of distorting to digital resource causes the variation of resource characteristic.By inspection, can effectively detect all changes of digital resource to the vertical diaphragm feature of digital resource.
Embodiment
Certain provincial archive is the archives with magnanimity archives resource, after the digitizing of finishing archives, utilizing in the process in use storage, transmission of digital archive resource, the primitiveness of archives, integrity detection become the subject matter that digital archive utilizes.Only guarantee and transmit to utilize the content Jianzhen in the process and distort detection in the primitiveness that efficiently solves the archives resource, the utilization of digital archive just has substantial meaning.The problem below mainly containing in the process utilized at digital archive: digital archive utilizes in transmission and can't carry out content Jianzhen in the process and distort detection, can't carry out primitiveness to the archive content that transfers out and detect and copyright authentication.
At the practical problems and the specific requirement in these archives, utilize in the process in the storage and the transmission of its digital archive, for its provide based on the digital watermarking generation of digital resource comprehensive characteristics and the solution of embedding grammar, the embodiment step is as follows:
After archival digitalization machines, according to the copyright information demand of the archive feature and the archives archives of these archives, analyze by comprehensive characteristics to digital archive, determine can the reference numbers archives feature set characteristic quantity and copyright information characteristic quantity;
According to the actual demand of the feature set of confirming and this Archives Administration and the situation of information platform, utilize Oracle 9i database to set up digital resource comprehensive characteristics storehouse, be used to store the feature set characteristic quantity of digital archives;
According to analyzing the feature set of determining umber word archives are measured calculating, obtain the physical features amount of digital archives, and require to determine the copyright information of digital archives according to the copyright in archives;
The comprehensive characteristics collection characteristic quantity of the digital archives that analysis is obtained advanced and utilizes irreversible cryptographic algorithm to encrypt after format is handled, and storage is in database;
Type according to digital archives adopts different algorithms, generates digital watermarking with calculating the feature set characteristic quantity that extracts, and utilizes the digital watermarking embedded technology that the digital watermarking that generates is embedded in the digital archives;
In vertical transmission course of digital archives, carry out and carry out signature verification earlier, transmit again, guarantee primitiveness, the integrality of institute's transfer resource, utilize in the process in lateral transport, for the user provides checking means and approach; With primitiveness, the integrality of guaranteeing digital resource.
By based on the digital watermarking generation of digital resource comprehensive characteristics and the utilization of embedding mode, this provincial archive provides content Jianzhen and has distorted the means and the instrument of detection in the process for the transmission of digital archive resource utilizes, also, make digital archive to be effectively used for the primitiveness in the digital archive utilization of resources process guarantees technological means and method are provided.
Claims (8)
1. digital watermarking generation and embedding grammar based on a digital archives resource comprehensive feature is characterized in that the following step of this method eucalyptus carries out:
(1), digital resource is divided into validity feature collection S by primitiveness and uniqueness requirement, described validity feature collection S=v
1, v
2..., v
n, v wherein
iBe the feature in a certain respect of digital resource, v
iComplete form be v
i=p
1, p
2..., p
m, p
jBe v
iJ characteristic parameter, validity feature collection S are the feature sets in full force and effect of digital resource primitiveness, and this validity feature collection S comprises physical features, information characteristics, checking data, the canned data of digital resource, the essential characteristic of copyright information;
(2), the comprehensive characteristics of digital resource is selected and analyzed, set up digital resource comprehensive characteristics storehouse;
(3), according to the feature set that signature analysis is selected, meter is calculated the characteristic quantity of individual features collection from the original figure resource;
(4) the feature set characteristic quantity that extracts is carried out storing in the digital resource comprehensive characteristics storehouse after the encryption;
(5), adopt different algorithms, will calculate the feature set characteristic quantity that extracts and generate digital watermarking, and utilize the digital watermarking embedded technology that the digital watermarking that generates is embedded in the digital resource according to the type of digital resource;
(6), before carrying out the checking of digital resource comprehensive characteristics, type according to digital resource, utilize the digital watermarking extraction algorithm from digital resource, to extract the watermark that embeds, from watermark, separate the original comprehensive characteristics amount of digital resource, and calculate the current comprehensive characteristics collection characteristic quantity of digital resource;
(7) signature verification: determine by the integrity checking of digital watermarking in the digital resource whether the digital resource digital resource occurs distorting; By current feature set characteristic quantity that digital resource is extracted with from watermark, mention the feature set characteristic quantity that separates and compare one by one, can judge that digital resource utilizes in the process and whether distorted in storage, transmission; By to mentioning the feature set characteristic quantity of separation in the current feature set characteristic quantity of digital resource, the watermark and the feature set characteristic quantity in the digital resource storehouse compares, can effectively detect integrality, the primitiveness of digital resource.
2. digital watermarking generation and embedding grammar based on digital archives resource comprehensive feature according to claim 1, it is characterized in that the quantitative analysis of described comprehensive characteristics collection feature, digital resource is divided into validity feature collection S by primitiveness and uniqueness requirement, described validity feature collection S=v
1, v
2..., v
n, v wherein
iBe the feature in a certain respect of digital resource, v
iComplete form be v
i=p
1, p
2..., p
m, p
jBe v
iJ characteristic parameter, validity feature collection S are the feature sets in full force and effect of digital resource primitiveness, and this validity feature collection S comprises physical features, information characteristics, checking data, the canned data of digital resource, the essential characteristic of copyright information:
Described physical features is weight, the size of contents of size, resolution, content;
Described information characteristics is the histogram of color component level and vertical projection, each color component;
Described checking data be the pixel row and column verification and;
Described canned data is establishment, the modification time of resource file, sizes of memory;
Described copyright information is unique identifier, the owner, person liable, resource time of filing, classified information, security information.
3. digital watermarking generation and embedding grammar based on digital archives resource comprehensive feature according to claim 1, it is characterized in that the foundation in described digital resource comprehensive characteristics storehouse, after analyzing the comprehensive characteristics collection characteristic quantity of determining digital resource, the most original digital resource comprehensive characteristics information that has this digital resource for the original owner who guarantees digital resource, utilize database technology and file storage technology, set up digital resource comprehensive characteristics storehouse.
4. digital watermarking generation and embedding grammar based on digital archives resource comprehensive feature according to claim 1, it is characterized in that described feature set features extraction: by analysis to digital resource comprehensive feature, determine the comprehensive characteristics collection characteristic quantity of use, the original figure resource is measured calculating and analysis, extract digital resource comprehensive characteristics collection characteristic quantity, determine the non-physical features amount of digital resource simultaneously according to owner information, the copyright information analysis of digital resource.
5. digital watermarking generation and embedding grammar based on digital archives resource comprehensive feature according to claim 1 is characterized in that described storage of setting up digital resource feature set characteristic quantity: utilize reversible algorithm to carry out depositing in the digital resource comprehensive characteristics storehouse after the encryption after all the feature set characteristic quantities that will mention acquisition convert unified format to.
6. digital watermarking generation and embedding grammar based on digital archives resource comprehensive feature according to claim 1, it is characterized in that described digital watermarking generates and embeds: to the digital resource feature set characteristic quantity that extracts, generate digital watermarking according to the watermark generating algorithm, the generation of digital watermarking will be adopted different algorithms according to the type of digital resource, adopt the transform domain digital watermark technology to generate digital watermarking for incompressible image media, adopt discrete cosine transform DCT area image watermark generation technique to generate digital watermarking the compressed image medium.
7. digital watermarking generation and embedding grammar based on digital archives resource comprehensive feature according to claim 1, it is characterized in that described numerical characteristic collection features extraction: the digital resource to embed watermark utilizes the digital watermarking extractive technique, extract digital watermarking, and according to the reverse digital resource comprehensive characteristics collection characteristic quantity that extracts in the watermark of digital watermarking generating algorithm; Calculate the digital resource comprehensive characteristics collection characteristic quantity of current digital resource simultaneously according to the feature set characteristic quantity of analyzing.
8. digital watermarking generation and embedding grammar based on digital archives resource comprehensive feature according to claim 1, the signature verification that it is characterized in that described digital resource feature set characteristic quantity: after having extracted the comprehensive characteristics collection characteristic quantity that is embedded in the digital resource, digital resource is distorted Jianzhen and primitiveness, integrity detection comprise three aspects:
(1), digital watermarking detects: by the watermark that digital resource is embedded, utilize the digital watermarking extraction algorithm to extract, detect the integrality of digital watermarking, under the situation that digital resource is distorted or primitiveness is destroyed, watermark will be destroyed simultaneously, it is imperfect that the watermark extracting algorithm can't extract the digital watermarking of watermark or extraction, and the detection by to the watermark of extracting can detect resource and be distorted or lose integrality;
(2), digital resource self check: can extract digital watermarking, comprehensive characteristics collection characteristic quantity that utilization is extracted from digital watermarking and current digital resource calculate extraction comprehensive characteristics collection characteristic quantity and compare detection, detect the integrality of digital resource, this detection can effectively detect various distort change and the integrity verifications of digital resource in the transmission use;
(3), feature database detects: the feature set characteristic quantity that separates in the digital watermarking in the front, current digital resource are calculated the feature set characteristic quantity that obtains and the feature set characteristic quantity in the digital resource comprehensive characteristics storehouse compares checking, whether consistent, realize the primitiveness of digital resource and the checking of integrality if detecting three feature set characteristic quantities.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201010554833 CN102013088B (en) | 2010-11-19 | 2010-11-19 | Digital watermark generation and embedding method based on comprehensive characteristics of digital archival resources |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201010554833 CN102013088B (en) | 2010-11-19 | 2010-11-19 | Digital watermark generation and embedding method based on comprehensive characteristics of digital archival resources |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102013088A true CN102013088A (en) | 2011-04-13 |
| CN102013088B CN102013088B (en) | 2012-12-12 |
Family
ID=43843254
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 201010554833 Active CN102013088B (en) | 2010-11-19 | 2010-11-19 | Digital watermark generation and embedding method based on comprehensive characteristics of digital archival resources |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102013088B (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102364521A (en) * | 2011-10-21 | 2012-02-29 | 吴思 | Distributed image information management method based on secondary information fusion |
| CN102446211A (en) * | 2011-09-06 | 2012-05-09 | 中国科学院自动化研究所 | Method and system for filing and verifying image |
| CN104036157A (en) * | 2014-06-05 | 2014-09-10 | 蓝盾信息安全技术有限公司 | Method based on comprehensive characteristic value for detecting tampering of file |
| CN110288504A (en) * | 2019-06-21 | 2019-09-27 | 杭州云象网络技术有限公司 | It is a kind of to automatically add water impression method towards block chain digital education platform |
| CN109101791B (en) * | 2018-09-21 | 2021-03-02 | 北京仁信证科技有限公司 | Watermark parameter automatic acquisition method and system based on data characteristics |
| CN113157646A (en) * | 2021-05-06 | 2021-07-23 | 日照蓝鸥信息科技有限公司 | Archives digital information management system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040128511A1 (en) * | 2000-12-20 | 2004-07-01 | Qibin Sun | Methods and systems for generating multimedia signature |
| CN1555021A (en) * | 2003-12-26 | 2004-12-15 | 中国人民解放军总参谋部第六十一研究 | Method for managing water print relation database |
| US20070174059A1 (en) * | 1996-05-16 | 2007-07-26 | Rhoads Geoffrey B | Methods, Systems, and Sub-Combinations Useful in Media Identification |
| CN101059863A (en) * | 2006-04-20 | 2007-10-24 | 刘瑞祯 | Embed and detection method for identifying water mark, its system and uses |
| CN102004874A (en) * | 2010-11-05 | 2011-04-06 | 王义海 | Digital resource monitoring and early warning method based on synthetic characteristics |
-
2010
- 2010-11-19 CN CN 201010554833 patent/CN102013088B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070174059A1 (en) * | 1996-05-16 | 2007-07-26 | Rhoads Geoffrey B | Methods, Systems, and Sub-Combinations Useful in Media Identification |
| US20040128511A1 (en) * | 2000-12-20 | 2004-07-01 | Qibin Sun | Methods and systems for generating multimedia signature |
| CN1555021A (en) * | 2003-12-26 | 2004-12-15 | 中国人民解放军总参谋部第六十一研究 | Method for managing water print relation database |
| CN101059863A (en) * | 2006-04-20 | 2007-10-24 | 刘瑞祯 | Embed and detection method for identifying water mark, its system and uses |
| CN102004874A (en) * | 2010-11-05 | 2011-04-06 | 王义海 | Digital resource monitoring and early warning method based on synthetic characteristics |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102446211A (en) * | 2011-09-06 | 2012-05-09 | 中国科学院自动化研究所 | Method and system for filing and verifying image |
| CN102364521A (en) * | 2011-10-21 | 2012-02-29 | 吴思 | Distributed image information management method based on secondary information fusion |
| CN104036157A (en) * | 2014-06-05 | 2014-09-10 | 蓝盾信息安全技术有限公司 | Method based on comprehensive characteristic value for detecting tampering of file |
| CN109101791B (en) * | 2018-09-21 | 2021-03-02 | 北京仁信证科技有限公司 | Watermark parameter automatic acquisition method and system based on data characteristics |
| CN110288504A (en) * | 2019-06-21 | 2019-09-27 | 杭州云象网络技术有限公司 | It is a kind of to automatically add water impression method towards block chain digital education platform |
| CN113157646A (en) * | 2021-05-06 | 2021-07-23 | 日照蓝鸥信息科技有限公司 | Archives digital information management system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102013088B (en) | 2012-12-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Shih | Digital watermarking and steganography: fundamentals and techniques | |
| CN102013088B (en) | Digital watermark generation and embedding method based on comprehensive characteristics of digital archival resources | |
| CN111612966B (en) | Bill certificate anti-counterfeiting detection method and device based on image recognition | |
| Hsu et al. | Image tamper detection and recovery using adaptive embedding rules | |
| CN108171023B (en) | Digital watermark 'physical and electrical integrated' seal processing system | |
| CN104077624A (en) | Methods and systems for generating and checking electronic note with anti-counterfeiting two-dimension code | |
| KR100991855B1 (en) | System for Issuing and Verifying Electronic Document, Method for Issuing Electronic Document and Method for Verifying Electronic Document | |
| CN101059863A (en) | Embed and detection method for identifying water mark, its system and uses | |
| CA2865587A1 (en) | Method and apparatus for the detection of digital watermarks for instant credential authentication | |
| CN111612963B (en) | Bill voucher anti-counterfeiting detection method and device based on intelligent equipment | |
| CN103136676A (en) | Two-dimension code anti-counterfeiting system recognized by mobile phone automatically and usage method thereof | |
| US20190095595A1 (en) | Data Watermarking and Fingerprinting System and Method | |
| CN104517045A (en) | Method for creating protected digital file | |
| CN106033543A (en) | Document modification detecting method, original document manuscript providing device, duplicated document detecting device, and document modification detection system | |
| Picard et al. | Towards fraud-proof id documents using multiple data hiding technologies and biometrics | |
| Guru et al. | Digital watermarking classification: a survey | |
| Lu et al. | Combined watermarking for image authentication and protection | |
| KR102114391B1 (en) | System and method for printing security of computerised documentation | |
| KR20140140928A (en) | Method, Apparatus and System for Inserting Watermark, Method and Apparatus for Detecting Watermark, and System for Protecting Digital Document | |
| WO2009065151A2 (en) | Method for image quality assessment using quality vectors | |
| CN105989569A (en) | Digital watermark embedding method and apparatus for EPUB document as well as extraction method and apparatus | |
| CN102004874B (en) | Digital resource monitoring and early warning method based on synthetic characteristics | |
| US9277097B2 (en) | Method for authenticating a document | |
| CN111612964B (en) | Bill certificate anti-counterfeiting detection method and device based on block chain | |
| CN103177219A (en) | Medical biochemical detection report critical data tamper-proofing method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |