CN109657527A - A kind of paintings style of writing identification systems and method - Google Patents
A kind of paintings style of writing identification systems and method Download PDFInfo
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- CN109657527A CN109657527A CN201710947483.XA CN201710947483A CN109657527A CN 109657527 A CN109657527 A CN 109657527A CN 201710947483 A CN201710947483 A CN 201710947483A CN 109657527 A CN109657527 A CN 109657527A
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- 238000010422 painting Methods 0.000 title claims abstract description 258
- 238000000034 method Methods 0.000 title claims abstract description 251
- 238000006243 chemical reaction Methods 0.000 claims abstract description 21
- 238000005194 fractionation Methods 0.000 claims abstract description 18
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 5
- 238000003786 synthesis reaction Methods 0.000 claims abstract description 5
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- 238000004458 analytical method Methods 0.000 claims description 8
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- 238000010276 construction Methods 0.000 claims description 5
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/80—Recognising image objects characterised by unique random patterns
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/95—Pattern authentication; Markers therefor; Forgery detection
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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Abstract
Present invention discloses a kind of paintings style of writing identification systems and method, the paintings style of writing identification systems include: artist's skill and technique feature database building module, identification module;Artist's skill and technique feature database constructs module to by establishing artist's skill and technique property data base to a large amount of different artist's authentic work works;Work images are obtained, and carry out Classification and Identification, details fractionation, the conversion of operating characteristic value, synthesis forms artist's skill and technique property data base, to identify and identifying that graphic art work provides reference frame;Module is identified by identification, refinement fractionation, the calculating of operating characteristic value, obtained data to be compared with the data in artist's skill and technique feature database for identified art work image, to judge the author of the identified art work.Paintings style of writing identification systems proposed by the present invention and method, can be improved the efficiency and accuracy of identification, while can feed back by the authentic work degree percentage of each element of the mirror art work, provide the reference frame of identification.
Description
Technical field
The invention belongs to paintings identification technology fields, are related to a kind of paintings identification systems more particularly to a kind of paintings style of writing
Identification systems;Meanwhile the invention further relates to a kind of paintings style of writing identification methods.
Background technique
Painting and calligraphy identification is a kind of civil identification mode to painting and calligraphy pieces.Existing identification mode is usually by corresponding special
Family is identified that subjectivity is strong by subjective knowledge, is easy to appear deviation, influences the accuracy of identification;In addition, existing mirror
Determine mode to need to take a long time, it is therefore desirable to be stored at surveyor painting and calligraphy pieces for a long time, can also painting and calligraphy be caused to be made
The uneasiness of product holder's heart.
In view of this, nowadays there is an urgent need to design a kind of painting and calligraphy identification mode, to overcome existing painting and calligraphy identification mode to deposit
Drawbacks described above.
Summary of the invention
The technical problems to be solved by the present invention are: providing a kind of paintings style of writing identification systems, the efficiency of identification can be improved
And accuracy, while can feed back by the authentic work degree percentage of each element of the mirror art work, the reference frame of identification is provided.
In addition, the efficiency and accuracy of identification can be improved, while can the present invention also provides a kind of paintings style of writing identification method
To feed back by the authentic work degree percentage of each element of the mirror art work, the reference frame of identification is provided.
In order to solve the above technical problems, the present invention adopts the following technical scheme:
A kind of paintings style of writing identification systems, the paintings style of writing identification systems include:
Artist's skill and technique feature database constructs module, to by establishing artist's skill to a large amount of different artist's authentic work works
Method property data base;Work images are obtained, and carry out Classification and Identification, details fractionation, the conversion of operating characteristic value, while by reliable
Appreciation of arts data data are defined to the classification of part artist's work, the comprehensive artist's skill and technique for forming Unified Algorithm building
Property data base, to identify and identifying that graphic art work provides reference frame;
Identify module, to pass through identification to identified art work image, refinement is split, the basic calculation of operating characteristic value
Afterwards, same writer's sample in the artificial sets requirement of bound fraction and artist's skill and technique property data base is the same as element samples gimmick feature
It is worth similarity and carries out global alignment, from common skill and technique and drawing, the angle comprehensive identification art work of technique of writing habit is corresponding author
Similarity percentage;It lists and identifies that the similarity percentage of each painting element of works is qualification result output;
Artist's skill and technique feature database self study update module, to be continuously increased painting art authentic work amount and have reference price
The fakement paintings amount of value improves database, improves the accuracy of decision algorithm;
Artist's skill and technique feature database building module includes paintings image acquisition unit, Classification and Identification unit, refines and tear open
Sub-unit, operating characteristic value converting unit, artist's skill and technique property data base;
Paintings image acquisition unit, to obtain the image data of each artist's paintings;
Classification and Identification unit is believed to the image according to the various elements in each artist's authentic work pictorial image for works
Breath carries out identification classification, and each identification element is distinguished in identification and information collects block;
Split cells is refined, to carry out refinement dismantling for each identification element, splits into more careful identification area;
Operating characteristic value converting unit, to for works each identification element in, the first stroke of a Chinese character used of painting, row pen,
Turn pen, receipts pen multistage and the different skill and technique characteristics of various pictures to classify, identification record, and finally conversion is for convenience of preservation comparison
Characteristic value;
Artist's skill and technique property data base, to store the data of the corresponding identification element of each artist, confession is subsequent
It compares identification unit and compares identification;
The identification module includes paintings image acquisition unit, Classification and Identification unit, refinement split cells, operating characteristic value
Converting unit compares identification unit;
Paintings image acquisition unit, to obtain the image data of identified paintings;
Classification and Identification unit, to carry out identification point for the image information of works according to the various elements in pictorial image
Class, each identification element is distinguished in identification and information collects block;
Split cells is refined, to carry out refinement dismantling for each identification element, splits into more careful identification area;
Operating characteristic value converting unit, to for works each identification element in, the first stroke of a Chinese character used of painting, row pen,
Turn pen, receipts pen multistage and the different skill and technique characteristics of various pictures to classify, identification record, and finally conversion is for convenience of preservation comparison
Characteristic value;
Identification unit is compared, to will be in the various features value of identified paintings and artist's skill and technique property data base
Every corresponding eigenvalue be compared, if comparison value, in given threshold range, judgement is corresponding artistical paintings;It is no
Then, judgement is not corresponding artistical paintings, and provides correspondingly similarity percentage.
The comparison identification unit includes basis identification unit, style of writing skill and technique identification unit, fuzzy identification unit;
Basis identification unit passes through identification to identified art work image, refinement is split, the basic calculation of operating characteristic value
Afterwards, same writer's sample in the artificial sets requirement of bound fraction and artist's skill and technique property data base is the same as element samples gimmick feature
It is worth similarity and carries out global alignment, from common skill and technique and drawing, the angle comprehensive identification art work of technique of writing habit is corresponding author
Similarity percentage;
In artist's skill and technique property data base without with author with painting element in the case where, program use with author with drawing
The works characteristic of type, the common style of writing that the interior product analysis with author of database goes out, painting skill, habit characteristic carry out
A possibility that whether works are author's authentic work is identified in global alignment, judgement;
If the same painting element of same author can not be found, list identification each painting element of works similarity percentage, one
And it lists with reference to those works and style of writing gimmick as qualification result output;
The style of writing skill and technique identifies unit, is included into the auxiliary of database as authentic work works, setting author, painting skill,
After style of writing, identify that each painting element of the works uses the use degree percentage of these skill and technique and style of writing by style of writing skill and technique identification unit
Than the drawing as the author is accustomed to data record, plays the role of promoting the accuracy of appraising datum library;It can Direct Identification works
Reference frame using the use degree of setting painting skill and style of writing on each painting element, as identification works;
The fuzzy identification unit passes through identification to identified art work image, refinement is split, the basis of operating characteristic value
After calculating, then characteristic value is recorded with author's approximation painting element authentic works all in artist's skill and technique property data base and is compared;
It is anti-as qualification result using the front three author and similarity percentage that list each painting element highest similarity
Qualification result feedback is presented, for the reference frame for judging the doubtful authentic work possibility of unknown works.
A kind of paintings style of writing identification systems, the paintings style of writing identification systems include:
Artist's skill and technique feature database constructs module, to by establishing artist's skill to a large amount of different artist's authentic work works
Method property data base;Work images are obtained, and carry out Classification and Identification, details fractionation, the conversion of operating characteristic value, it is comprehensive to form art
Family's skill and technique property data base, to identify and identifying that graphic art work provides reference frame;
Identify module, to pass through identification to identified art work image, refinement is split, the calculating of operating characteristic value, will
Obtained data are compared with the data in artist's skill and technique feature database, to judge the author of the identified art work.
As a preferred solution of the present invention, the paintings style of writing identification systems further include artist's skill and technique feature database from
Learn update module, to be continuously increased painting art authentic work amount and there is the fakement paintings amount of reference value to improve data
The accuracy of decision algorithm is improved in library.
As a preferred solution of the present invention, artist's skill and technique feature database building module includes that paintings image obtains
Unit, Classification and Identification unit, refinement split cells, operating characteristic value converting unit, artist's skill and technique property data base;
Paintings image acquisition unit, to obtain the image data of each artist's paintings;
Classification and Identification unit is believed to the image according to the various elements in each artist's authentic work pictorial image for works
Breath carries out identification classification, and each identification element is distinguished in identification and information collects block;
Split cells is refined, to carry out refinement dismantling for each identification element, splits into more careful identification area;
Operating characteristic value converting unit, to for works each identification element in, the first stroke of a Chinese character used of painting, row pen,
Turn pen, receipts pen multistage and the different skill and technique characteristics of various pictures to classify, identification record, and finally conversion is for convenience of preservation comparison
Characteristic value;
Artist's skill and technique property data base, to store the data of the corresponding identification element of each artist, confession is subsequent
It compares identification unit and compares identification.
As a preferred solution of the present invention, the identification module includes paintings image acquisition unit, Classification and Identification list
Member, operating characteristic value converting unit, compares identification unit at refinement split cells;
Paintings image acquisition unit, to obtain the image data of identified paintings;
Classification and Identification unit, to carry out identification point for the image information of works according to the various elements in pictorial image
Class, each identification element is distinguished in identification and information collects block;
Split cells is refined, to carry out refinement dismantling for each identification element, splits into more careful identification area;
Operating characteristic value converting unit, to for works each identification element in, the first stroke of a Chinese character used of painting, row pen,
Turn pen, receipts pen multistage and the different skill and technique characteristics of various pictures to classify, identification record, and finally conversion is for convenience of preservation comparison
Characteristic value;
Identification unit is compared, to will be in the various features value of identified paintings and artist's skill and technique property data base
Every corresponding eigenvalue be compared, if comparison value, in given threshold range, judgement is corresponding artistical paintings;It is no
Then, judgement is not corresponding artistical paintings, and provides correspondingly similarity percentage.
As a preferred solution of the present invention, the comparison identification unit includes basis identification unit, style of writing skill and technique mirror
Order member, fuzzy identification unit;
Basis identification unit passes through identification to identified art work image, refinement is split, the basic calculation of operating characteristic value
Afterwards, same writer's sample in the artificial sets requirement of bound fraction and artist's skill and technique property data base is the same as element samples gimmick feature
It is worth similarity and carries out global alignment, from common skill and technique and drawing, the angle comprehensive identification art work of technique of writing habit is corresponding author
Similarity percentage;
In artist's skill and technique property data base without with author with painting element in the case where, program use with author with drawing
The works characteristic of type, the common style of writing that the interior product analysis with author of database goes out, painting skill, habit characteristic carry out
A possibility that whether works are author's authentic work is identified in global alignment, judgement;
If the same painting element of same author can not be found, list identification each painting element of works similarity percentage, one
And it lists with reference to those works and style of writing gimmick as qualification result output;
The style of writing skill and technique identifies unit, is included into the auxiliary of database as authentic work works, setting author, painting skill,
After style of writing, identify that each painting element of the works uses the use degree percentage of these skill and technique and style of writing by style of writing skill and technique identification unit
Than the drawing as the author is accustomed to data record, plays the role of promoting the accuracy of appraising datum library;It can Direct Identification works
Reference frame using the use degree of setting painting skill and style of writing on each painting element, as identification works;
The fuzzy identification unit passes through identification to identified art work image, refinement is split, the basis of operating characteristic value
After calculating, then characteristic value is recorded with author's approximation painting element authentic works all in artist's skill and technique property data base and is compared;
It is anti-as qualification result using the front three author and similarity percentage that list each painting element highest similarity
Qualification result feedback is presented, for the reference frame for judging the doubtful authentic work possibility of unknown works.
A kind of paintings style of writing identification method, the paintings style of writing identification method include:
Step S1, artist's skill and technique feature database construction step, by establishing art to a large amount of different artist's authentic work works
Family's skill and technique property data base;Work images are obtained, and carry out Classification and Identification, details fractionation, the conversion of operating characteristic value, are passed through simultaneously
Reliable appreciation of arts data defines data, the comprehensive artist for forming Unified Algorithm building to the classification of part artist's work
Skill and technique property data base, to identify and identifying that graphic art work provides reference frame;
The step S1 includes:
Paintings image acquisition step obtains the image data of each artist's paintings;
Classification and Identification step, according to the various elements in each artist's authentic work pictorial image for works image information into
Row identification classification, each identification element is distinguished in identification and information collects block;
Splitting step is refined, refinement dismantling is carried out for each identification element, splits into more careful identification area;
Operating characteristic value switch process, in each identification element of works, the first stroke of a Chinese character used of painting, row pen, turn pen,
It receives the pen multistage and the different skill and technique characteristics of various pictures is classified, identification record, and finally convert for convenience of the spy compared is saved
Value indicative;
Artist's skill and technique property data base forming step, stores the data of the corresponding identification element of each artist, and confession is subsequent
It compares authentication step and compares identification;
Step S2, authentication step is split identified art work image by identification, refinement, the basis of operating characteristic value
After calculating, same writer's sample in the artificial sets requirement of bound fraction and artist's skill and technique property data base is the same as element samples gimmick
Characteristic value similarity carries out global alignment, and from common skill and technique and drawing, the angle comprehensive identification art work of technique of writing habit is corresponding
The similarity percentage of author;It lists and identifies that the similarity percentage of each painting element of works is qualification result output;
The step S2 includes:
Paintings image acquisition step obtains the image data of identified paintings;
Classification and Identification step, the image information according to the various elements in pictorial image for works carry out identification classification,
Each identification element is distinguished in identification and information collects block;
Splitting step is refined, refinement dismantling is carried out for each identification element, splits into more careful identification area;
Operating characteristic value switch process, in each identification element of works, the first stroke of a Chinese character used of painting, row pen, turn pen,
It receives the pen multistage and the different skill and technique characteristics of various pictures is classified, identification record, and finally convert for convenience of the spy compared is saved
Value indicative;
Compare authentication step, by the various features value of identified paintings with it is each in artist's skill and technique property data base
Item corresponding eigenvalue is compared, if comparison value is in given threshold range, judgement is corresponding artistical paintings;Otherwise, sentence
Disconnected is not corresponding artistical paintings, and provides correspondingly similarity percentage.
The comparison authentication step includes basic qualification process, style of writing skill and technique qualification process, fuzzy qualification process;
In basic qualification process, identified art work image is split by identification, refinement, the basis of operating characteristic value is counted
After calculation, same writer's sample in the artificial sets requirement of bound fraction and artist's skill and technique property data base is special with element samples gimmick
Value indicative similarity carries out global alignment, and from common skill and technique and drawing, the angle comprehensive identification art work of technique of writing habit is corresponding makees
The similarity percentage of person;
In artist's skill and technique property data base without with author with painting element in the case where, program use with author with drawing
The works characteristic of type, the common style of writing that the interior product analysis with author of database goes out, painting skill, habit characteristic carry out
A possibility that whether works are author's authentic work is identified in global alignment, judgement;
If the same painting element of same author can not be found, list identification each painting element of works similarity percentage, one
And it lists with reference to those works and style of writing gimmick as qualification result output;
In style of writing skill and technique qualification process, it is included into the auxiliary of database as authentic work works, sets author, painting skill, pen
After touch, identify that each painting element of the works uses the use degree percentage of these skill and technique and style of writing by style of writing skill and technique identification unit
Than the drawing as the author is accustomed to data record, plays the role of promoting the accuracy of appraising datum library;It can Direct Identification works
Reference frame using the use degree of setting painting skill and style of writing on each painting element, as identification works;
In fuzzy qualification process, identified art work image is split by identification, refinement, the basis of operating characteristic value is counted
After calculation, then characteristic value is recorded with author's approximation painting element authentic works all in artist's skill and technique property data base and is compared;With
The front three author for listing each painting element highest similarity and similarity percentage are as qualification result feedback qualification result
Feedback, for the reference frame for judging the doubtful authentic work possibility of unknown works;
Step S3, the self study of artist's skill and technique feature database updates step, is continuously increased painting art authentic work amount and has ginseng
The fakement paintings amount of value is examined to improve database, improves the accuracy of decision algorithm;
A kind of paintings style of writing identification method, the paintings style of writing identification method include:
Artist's skill and technique feature database construction step, it is special by establishing artist's skill and technique to a large amount of different artist's authentic work works
Levy database;Work images are obtained, and carry out Classification and Identification, details fractionation, the conversion of operating characteristic value, synthesis forms artist's skill
Method property data base, to identify and identifying that graphic art work provides reference frame;
Authentication step is split identified art work image by identification, refinement, the calculating of operating characteristic value, will be obtained
Data be compared with the data in artist's skill and technique feature database, to judge the author of the identified art work.
As a preferred solution of the present invention, the paintings style of writing identification method further include artist's skill and technique feature database from
Study updates step, is continuously increased painting art authentic work amount and has the fakement paintings amount of reference value to improve database, mentions
The accuracy of high decision algorithm.
As a preferred solution of the present invention, the step S1 includes:
Paintings image acquisition step obtains the image data of each artist's paintings;
Classification and Identification step, according to the various elements in each artist's authentic work pictorial image for works image information into
Row identification classification, each identification element is distinguished in identification and information collects block;
Splitting step is refined, refinement dismantling is carried out for each identification element, splits into more careful identification area;
Operating characteristic value switch process, in each identification element of works, the first stroke of a Chinese character used of painting, row pen, turn pen,
It receives the pen multistage and the different skill and technique characteristics of various pictures is classified, identification record, and finally convert for convenience of the spy compared is saved
Value indicative;
Artist's skill and technique property data base forming step, stores the data of the corresponding identification element of each artist, and confession is subsequent
It compares authentication step and compares identification;
The step S2 includes:
Paintings image acquisition step obtains the image data of identified paintings;
Classification and Identification step, the image information according to the various elements in pictorial image for works carry out identification classification,
Each identification element is distinguished in identification and information collects block;
Splitting step is refined, refinement dismantling is carried out for each identification element, splits into more careful identification area;
Operating characteristic value switch process, in each identification element of works, the first stroke of a Chinese character used of painting, row pen, turn pen,
It receives the pen multistage and the different skill and technique characteristics of various pictures is classified, identification record, and finally convert for convenience of the spy compared is saved
Value indicative;
Compare authentication step, by the various features value of identified paintings with it is each in artist's skill and technique property data base
Item corresponding eigenvalue is compared, if comparison value is in given threshold range, judgement is corresponding artistical paintings;Otherwise, sentence
Disconnected is not corresponding artistical paintings, and provides correspondingly similarity percentage.
The beneficial effects of the present invention are: identification can be improved in paintings style of writing identification systems proposed by the present invention and method
Efficiency and accuracy, while can feed back by the authentic work degree percentage of each element of the mirror art work, the reference frame of identification is provided.
Detailed description of the invention
Fig. 1 is the composition schematic diagram of paintings style of writing identification systems of the present invention.
Fig. 2 is the flow chart of paintings style of writing identification method of the present invention.
Specific embodiment
The preferred embodiment that the invention will now be described in detail with reference to the accompanying drawings.
Embodiment one
Referring to Fig. 1, present invention discloses a kind of paintings style of writing identification systems, the paintings style of writing identification systems include:
Artist's skill and technique feature database constructs module 1, identification module 2, artist's skill and technique feature database self study update module 3.
Artist's skill and technique feature database constructs module, to by establishing artist's skill to a large amount of different artist's authentic work works
Method property data base;Work images are obtained, and carry out Classification and Identification, details fractionation, the conversion of operating characteristic value, while by reliable
Appreciation of arts data data are defined to the classification of part artist's work, the comprehensive artist's skill and technique for forming Unified Algorithm building
Property data base, to identify and identifying that graphic art work provides reference frame.
Identify module, to pass through identification to identified art work image, refinement is split, the basic calculation of operating characteristic value
Afterwards, same writer's sample in the artificial sets requirement of bound fraction and artist's skill and technique property data base is the same as element samples gimmick feature
It is worth similarity and carries out global alignment, from common skill and technique and drawing, the angle comprehensive identification art work of technique of writing habit is corresponding author
Similarity percentage;It lists and identifies that the similarity percentage of each painting element of works is qualification result output.
Artist's skill and technique feature database self study update module, to be continuously increased painting art authentic work amount and have reference price
The fakement paintings amount of value improves database, improves the accuracy of decision algorithm.
Artist's skill and technique feature database building module includes paintings image acquisition unit, Classification and Identification unit, refines and tear open
Sub-unit, operating characteristic value converting unit, artist's skill and technique property data base.
Paintings image acquisition unit, to obtain the image data of each artist's paintings;
Classification and Identification unit is believed to the image according to the various elements in each artist's authentic work pictorial image for works
Breath carries out identification classification, and each identification element is distinguished in identification and information collects block.
Split cells is refined, to carry out refinement dismantling for each identification element, splits into more careful identification area.
Operating characteristic value converting unit, to for works each identification element in, the first stroke of a Chinese character used of painting, row pen,
Turn pen, receipts pen multistage and the different skill and technique characteristics of various pictures to classify, identification record, and finally conversion is for convenience of preservation comparison
Characteristic value.
Artist's skill and technique property data base, to store the data of the corresponding identification element of each artist, confession is subsequent
It compares identification unit and compares identification.
The identification module includes paintings image acquisition unit, Classification and Identification unit, refinement split cells, operating characteristic value
Converting unit compares identification unit.
Paintings image acquisition unit, to obtain the image data of identified paintings.
Classification and Identification unit, to carry out identification point for the image information of works according to the various elements in pictorial image
Class, each identification element is distinguished in identification and information collects block.
Split cells is refined, to carry out refinement dismantling for each identification element, splits into more careful identification area.
Operating characteristic value converting unit, to for works each identification element in, the first stroke of a Chinese character used of painting, row pen,
Turn pen, receipts pen multistage and the different skill and technique characteristics of various pictures to classify, identification record, and finally conversion is for convenience of preservation comparison
Characteristic value.
Identification unit is compared, to will be in the various features value of identified paintings and artist's skill and technique property data base
Every corresponding eigenvalue be compared, if comparison value, in given threshold range, judgement is corresponding artistical paintings;It is no
Then, judgement is not corresponding artistical paintings, and provides correspondingly similarity percentage.
The comparison identification unit includes basis identification unit, style of writing skill and technique identification unit, fuzzy identification unit.
Basis identification unit passes through identification to identified art work image, refinement is split, the basic calculation of operating characteristic value
Afterwards, same writer's sample in the artificial sets requirement of bound fraction and artist's skill and technique property data base is the same as element samples gimmick feature
It is worth similarity and carries out global alignment, from common skill and technique and drawing, the angle comprehensive identification art work of technique of writing habit is corresponding author
Similarity percentage.
In artist's skill and technique property data base without with author with painting element in the case where, program use with author with drawing
The works characteristic of type, the common style of writing that the interior product analysis with author of database goes out, painting skill, habit characteristic carry out
A possibility that whether works are author's authentic work is identified in global alignment, judgement.
If the same painting element of same author can not be found, list identification each painting element of works similarity percentage, one
And it lists with reference to those works and style of writing gimmick as qualification result output.
The style of writing skill and technique identifies unit, is included into the auxiliary of database as authentic work works, setting author, painting skill,
After style of writing, identify that each painting element of the works uses the use degree percentage of these skill and technique and style of writing by style of writing skill and technique identification unit
Than the drawing as the author is accustomed to data record, plays the role of promoting the accuracy of appraising datum library;It can Direct Identification works
Reference frame using the use degree of setting painting skill and style of writing on each painting element, as identification works.
The fuzzy identification unit passes through identification to identified art work image, refinement is split, the basis of operating characteristic value
After calculating, then characteristic value is recorded with author's approximation painting element authentic works all in artist's skill and technique property data base and is compared.
It is anti-as qualification result using the front three author and similarity percentage that list each painting element highest similarity
Qualification result feedback is presented, for the reference frame for judging the doubtful authentic work possibility of unknown works.
Referring to Fig. 2, the present invention also discloses a kind of paintings style of writing identification method, the paintings style of writing identification method includes:
[step S1] artist skill and technique feature database construction step, by establishing art to a large amount of different artist's authentic work works
Family's skill and technique property data base;Work images are obtained, and carry out Classification and Identification, details fractionation, the conversion of operating characteristic value, are passed through simultaneously
Reliable appreciation of arts data defines data, the comprehensive artist for forming Unified Algorithm building to the classification of part artist's work
Skill and technique property data base, to identify and identifying that graphic art work provides reference frame;
The step S1 includes:
Paintings image acquisition step obtains the image data of each artist's paintings;
Classification and Identification step, according to the various elements in each artist's authentic work pictorial image for works image information into
Row identification classification, each identification element is distinguished in identification and information collects block;
Splitting step is refined, refinement dismantling is carried out for each identification element, splits into more careful identification area;
Operating characteristic value switch process, in each identification element of works, the first stroke of a Chinese character used of painting, row pen, turn pen,
It receives the pen multistage and the different skill and technique characteristics of various pictures is classified, identification record, and finally convert for convenience of the spy compared is saved
Value indicative;
Artist's skill and technique property data base forming step, stores the data of the corresponding identification element of each artist, and confession is subsequent
It compares authentication step and compares identification;
[step S2] authentication step is split identified art work image by identification, refinement, the basis of operating characteristic value
After calculating, same writer's sample in the artificial sets requirement of bound fraction and artist's skill and technique property data base is the same as element samples gimmick
Characteristic value similarity carries out global alignment, and from common skill and technique and drawing, the angle comprehensive identification art work of technique of writing habit is corresponding
The similarity percentage of author;It lists and identifies that the similarity percentage of each painting element of works is qualification result output;
The step S2 includes:
Paintings image acquisition step obtains the image data of identified paintings;
Classification and Identification step, the image information according to the various elements in pictorial image for works carry out identification classification,
Each identification element is distinguished in identification and information collects block;
Splitting step is refined, refinement dismantling is carried out for each identification element, splits into more careful identification area;
Operating characteristic value switch process, in each identification element of works, the first stroke of a Chinese character used of painting, row pen, turn pen,
It receives the pen multistage and the different skill and technique characteristics of various pictures is classified, identification record, and finally convert for convenience of the spy compared is saved
Value indicative;
Compare authentication step, by the various features value of identified paintings with it is each in artist's skill and technique property data base
Item corresponding eigenvalue is compared, if comparison value is in given threshold range, judgement is corresponding artistical paintings;Otherwise, sentence
Disconnected is not corresponding artistical paintings, and provides correspondingly similarity percentage.
The comparison authentication step includes basic qualification process, style of writing skill and technique qualification process, fuzzy qualification process;
In basic qualification process, identified art work image is split by identification, refinement, the basis of operating characteristic value is counted
After calculation, same writer's sample in the artificial sets requirement of bound fraction and artist's skill and technique property data base is special with element samples gimmick
Value indicative similarity carries out global alignment, and from common skill and technique and drawing, the angle comprehensive identification art work of technique of writing habit is corresponding makees
The similarity percentage of person;
In artist's skill and technique property data base without with author with painting element in the case where, program use with author with drawing
The works characteristic of type, the common style of writing that the interior product analysis with author of database goes out, painting skill, habit characteristic carry out
A possibility that whether works are author's authentic work is identified in global alignment, judgement;
If the same painting element of same author can not be found, list identification each painting element of works similarity percentage, one
And it lists with reference to those works and style of writing gimmick as qualification result output;
In style of writing skill and technique qualification process, it is included into the auxiliary of database as authentic work works, sets author, painting skill, pen
After touch, identify that each painting element of the works uses the use degree percentage of these skill and technique and style of writing by style of writing skill and technique identification unit
Than the drawing as the author is accustomed to data record, plays the role of promoting the accuracy of appraising datum library;It can Direct Identification works
Reference frame using the use degree of setting painting skill and style of writing on each painting element, as identification works;
In fuzzy qualification process, identified art work image is split by identification, refinement, the basis of operating characteristic value is counted
After calculation, then characteristic value is recorded with author's approximation painting element authentic works all in artist's skill and technique property data base and is compared;With
The front three author for listing each painting element highest similarity and similarity percentage are as qualification result feedback qualification result
Feedback, for the reference frame for judging the doubtful authentic work possibility of unknown works;
[step S3] artist skill and technique feature database self study updates step, is continuously increased painting art authentic work amount and has ginseng
The fakement paintings amount of value is examined to improve database, improves the accuracy of decision algorithm;
Embodiment two
The present invention discloses a kind of paintings style of writing identification systems, and the paintings style of writing identification systems include: that artist's skill and technique is special
Levy library building module, identification module.
Artist's skill and technique feature database constructs module to by establishing artist's skill to a large amount of different artist's authentic work works
Method property data base;Work images are obtained, and carry out Classification and Identification, details fractionation, the conversion of operating characteristic value, it is comprehensive to form art
Family's skill and technique property data base, to identify and identifying that graphic art work provides reference frame.
Identify module, to pass through identification to identified art work image, refinement is split, the calculating of operating characteristic value, will
Obtained data are compared with the data in artist's skill and technique feature database, to judge the author of the identified art work.
The present invention also discloses a kind of paintings style of writing identification method, and the paintings style of writing identification method includes:
Artist's skill and technique feature database construction step, it is special by establishing artist's skill and technique to a large amount of different artist's authentic work works
Levy database;Work images are obtained, and carry out Classification and Identification, details fractionation, the conversion of operating characteristic value, synthesis forms artist's skill
Method property data base, to identify and identifying that graphic art work provides reference frame;
It identifies mould step, identified art work image is split by identification, refinement, the calculating of operating characteristic value, will
To data be compared with the data in artist's skill and technique feature database, to judge the author of the identified art work.
In conclusion paintings style of writing identification systems proposed by the present invention and method, can be improved the efficiency and accuracy of identification,
It can feed back by the authentic work degree percentage of each element of the mirror art work simultaneously, the reference frame of identification is provided.
Description and application of the invention herein are illustrative, is not wishing to limit the scope of the invention to above-described embodiment
In.The deformation and change of embodiments disclosed herein are possible, the realities for those skilled in the art
The replacement and equivalent various parts for applying example are well known.It should be appreciated by the person skilled in the art that not departing from the present invention
Spirit or essential characteristics in the case where, the present invention can in other forms, structure, arrangement, ratio, and with other components,
Material and component are realized.Without departing from the scope and spirit of the present invention, can to embodiments disclosed herein into
The other deformations of row and change.
Claims (10)
1. a kind of paintings style of writing identification systems, which is characterized in that the paintings style of writing identification systems include:
Artist's skill and technique feature database constructs module, to special by establishing artist's skill and technique to a large amount of different artist's authentic work works
Levy database;Work images are obtained, and carry out Classification and Identification, details fractionation, the conversion of operating characteristic value, while passing through reliable skill
Art appreciates data and defines data, the comprehensive artist's skill and technique feature for forming Unified Algorithm building to the classification of part artist's work
Database, to identify and identifying that graphic art work provides reference frame;
Identify module, to be split, after the basic calculation of operating characteristic value to identified art work image by identification, refinement,
Same writer's sample in the artificial sets requirement of bound fraction and artist's skill and technique property data base is the same as element samples gimmick characteristic value
Similarity carries out global alignment, and from common skill and technique and drawing, the angle comprehensive identification art work of technique of writing habit is corresponding author's
Similarity percentage;It lists and identifies that the similarity percentage of each painting element of works is qualification result output;
Artist's skill and technique feature database self study update module, to be continuously increased painting art authentic work amount and have reference value
Fakement paintings amount improves database, improves the accuracy of decision algorithm;
Artist's skill and technique feature database building module includes paintings image acquisition unit, Classification and Identification unit, refinement fractionation list
Member, operating characteristic value converting unit, artist's skill and technique property data base;
Paintings image acquisition unit, to obtain the image data of each artist's paintings;
Classification and Identification unit, to according to the various elements in each artist's authentic work pictorial image for works image information into
Row identification classification, each identification element is distinguished in identification and information collects block;
Split cells is refined, to carry out refinement dismantling for each identification element, splits into more careful identification area;
Operating characteristic value converting unit, to for works each identification element in, the first stroke of a Chinese character used of painting, row pen, turn pen,
It receives the pen multistage and the different skill and technique characteristics of various pictures is classified, identification record, and finally convert for convenience of the spy compared is saved
Value indicative;
Artist's skill and technique property data base, to store the data of the corresponding identification element of each artist, for subsequent comparison
Identify that unit compares identification;
The identification module includes paintings image acquisition unit, Classification and Identification unit, refinement split cells, the conversion of operating characteristic value
Unit compares identification unit;
Paintings image acquisition unit, to obtain the image data of identified paintings;
Classification and Identification unit carries out identification classification to the image information according to the various elements in pictorial image for works,
Each identification element is distinguished in identification and information collects block;
Split cells is refined, to carry out refinement dismantling for each identification element, splits into more careful identification area;
Operating characteristic value converting unit, to for works each identification element in, the first stroke of a Chinese character used of painting, row pen, turn pen,
It receives the pen multistage and the different skill and technique characteristics of various pictures is classified, identification record, and finally convert for convenience of the spy compared is saved
Value indicative;
Compare identification unit, to by the various features value of identified paintings with it is each in artist's skill and technique property data base
Item corresponding eigenvalue is compared, if comparison value is in given threshold range, judgement is corresponding artistical paintings;Otherwise, sentence
Disconnected is not corresponding artistical paintings, and provides correspondingly similarity percentage;
The comparison identification unit includes basis identification unit, style of writing skill and technique identification unit, fuzzy identification unit;
Basis identification unit splits, after the basic calculation of operating characteristic value identified art work image by identification, refinement, knot
The artificial sets requirement in part is closed with same writer's sample in artist's skill and technique property data base with element samples gimmick characteristic value phase
Global alignment is carried out like degree, from common skill and technique and drawing, the angle comprehensive identification art work of technique of writing habit is the phase of corresponding author
Like degree percentage;
In artist's skill and technique property data base without with author with painting element in the case where, program use is painted type together with author
Works characteristic, the common style of writing gone out in database with the product analysis of author, painting skill, habit characteristic integrated
It compares, a possibility that whether works are author's authentic work is identified in judgement;
If the same painting element of same author can not be found, the similarity percentage of the identification each painting element of works is listed, one side by side
It is exported out with reference to those works and style of writing gimmick as qualification result;
The style of writing skill and technique identifies unit, and the auxiliary of database is included into as authentic work works, sets author, painting skill, style of writing
Afterwards, identify that each painting element of the works uses the use degree percentage of these skill and technique and style of writing by style of writing skill and technique identification unit,
Drawing as the author is accustomed to data record, plays the role of promoting the accuracy of appraising datum library;Energy Direct Identification works are every
Reference frame using the use degree of setting painting skill and style of writing on a painting element, as identification works;
The fuzzy identification unit passes through identification to identified art work image, refinement is split, the basic calculation of operating characteristic value
Afterwards, then with author's approximation painting element authentic works all in artist's skill and technique property data base record characteristic value it is compared;
It is fed back and is reflected as qualification result using the front three author and similarity percentage that list each painting element highest similarity
Result feedback is determined, for the reference frame for judging the doubtful authentic work possibility of unknown works.
2. a kind of paintings style of writing identification systems, which is characterized in that the paintings style of writing identification systems include:
Artist's skill and technique feature database constructs module, to special by establishing artist's skill and technique to a large amount of different artist's authentic work works
Levy database;Work images are obtained, and carry out Classification and Identification, details fractionation, the conversion of operating characteristic value, synthesis forms artist's skill
Method property data base, to identify and identifying that graphic art work provides reference frame;
Module is identified, by identification, refinement fractionation, the calculating of operating characteristic value, will obtain to identified art work image
Data be compared with the data in artist's skill and technique feature database, to judge the author of the identified art work.
3. paintings style of writing identification systems according to claim 2, it is characterised in that:
The paintings style of writing identification systems further include artist's skill and technique feature database self study update module, to be continuously increased drawing
Art work authentic work amount and there is the fakement paintings amount of reference value to improve database, improves the accuracy of decision algorithm.
4. paintings style of writing identification systems according to claim 2, it is characterised in that:
Artist's skill and technique feature database building module includes paintings image acquisition unit, Classification and Identification unit, refinement fractionation list
Member, operating characteristic value converting unit, artist's skill and technique property data base;
Paintings image acquisition unit, to obtain the image data of each artist's paintings;
Classification and Identification unit, to according to the various elements in each artist's authentic work pictorial image for works image information into
Row identification classification, each identification element is distinguished in identification and information collects block;
Split cells is refined, to carry out refinement dismantling for each identification element, splits into more careful identification area;
Operating characteristic value converting unit, to for works each identification element in, the first stroke of a Chinese character used of painting, row pen, turn pen,
It receives the pen multistage and the different skill and technique characteristics of various pictures is classified, identification record, and finally convert for convenience of the spy compared is saved
Value indicative;
Artist's skill and technique property data base, to store the data of the corresponding identification element of each artist, for subsequent comparison
Identify that unit compares identification.
5. paintings style of writing identification systems according to claim 2, it is characterised in that:
The identification module includes paintings image acquisition unit, Classification and Identification unit, refinement split cells, the conversion of operating characteristic value
Unit compares identification unit;
Paintings image acquisition unit, to obtain the image data of identified paintings;
Classification and Identification unit carries out identification classification to the image information according to the various elements in pictorial image for works,
Each identification element is distinguished in identification and information collects block;
Split cells is refined, to carry out refinement dismantling for each identification element, splits into more careful identification area;
Operating characteristic value converting unit, to for works each identification element in, the first stroke of a Chinese character used of painting, row pen, turn pen,
It receives the pen multistage and the different skill and technique characteristics of various pictures is classified, identification record, and finally convert for convenience of the spy compared is saved
Value indicative;
Compare identification unit, to by the various features value of identified paintings with it is each in artist's skill and technique property data base
Item corresponding eigenvalue is compared, if comparison value is in given threshold range, judgement is corresponding artistical paintings;Otherwise, sentence
Disconnected is not corresponding artistical paintings, and provides correspondingly similarity percentage.
6. paintings style of writing identification systems according to claim 2, it is characterised in that:
The comparison identification unit includes basis identification unit, style of writing skill and technique identification unit, fuzzy identification unit;
Basis identification unit splits, after the basic calculation of operating characteristic value identified art work image by identification, refinement, knot
The artificial sets requirement in part is closed with same writer's sample in artist's skill and technique property data base with element samples gimmick characteristic value phase
Global alignment is carried out like degree, from common skill and technique and drawing, the angle comprehensive identification art work of technique of writing habit is the phase of corresponding author
Like degree percentage;
In artist's skill and technique property data base without with author with painting element in the case where, program use is painted type together with author
Works characteristic, the common style of writing gone out in database with the product analysis of author, painting skill, habit characteristic integrated
It compares, a possibility that whether works are author's authentic work is identified in judgement;
If the same painting element of same author can not be found, the similarity percentage of the identification each painting element of works is listed, one side by side
It is exported out with reference to those works and style of writing gimmick as qualification result;
The style of writing skill and technique identifies unit, and the auxiliary of database is included into as authentic work works, sets author, painting skill, style of writing
Afterwards, identify that each painting element of the works uses the use degree percentage of these skill and technique and style of writing by style of writing skill and technique identification unit,
Drawing as the author is accustomed to data record, plays the role of promoting the accuracy of appraising datum library;Energy Direct Identification works are every
Reference frame using the use degree of setting painting skill and style of writing on a painting element, as identification works;
The fuzzy identification unit passes through identification to identified art work image, refinement is split, the basic calculation of operating characteristic value
Afterwards, then with author's approximation painting element authentic works all in artist's skill and technique property data base record characteristic value it is compared;
It is fed back and is reflected as qualification result using the front three author and similarity percentage that list each painting element highest similarity
Result feedback is determined, for the reference frame for judging the doubtful authentic work possibility of unknown works.
7. a kind of paintings style of writing identification method, which is characterized in that the paintings style of writing identification method includes:
Step S1, artist's skill and technique feature database construction step, by establishing artist's skill to a large amount of different artist's authentic work works
Method property data base;Work images are obtained, and carry out Classification and Identification, details fractionation, the conversion of operating characteristic value, while by reliable
Appreciation of arts data data are defined to the classification of part artist's work, the comprehensive artist's skill and technique for forming Unified Algorithm building
Property data base, to identify and identifying that graphic art work provides reference frame;
The step S1 includes:
Paintings image acquisition step obtains the image data of each artist's paintings;
Classification and Identification step, the image information according to the various elements in each artist's authentic work pictorial image for works are known
Do not classify, each identification element is distinguished in identification and information collects block;
Splitting step is refined, refinement dismantling is carried out for each identification element, splits into more careful identification area;
Operating characteristic value switch process, in each identification element of works, the first stroke of a Chinese character used of painting, row pen turn pen, receive pen
Multistage and the different skill and technique characteristics of various pictures are classified, identification record, and are finally converted for convenience of the characteristic value compared is saved;
Artist's skill and technique property data base forming step stores the data of the corresponding identification element of each artist, for subsequent comparison
Authentication step compares identification;
Step S2, authentication step is split identified art work image by identification, refinement, the basic calculation of operating characteristic value
Afterwards, same writer's sample in the artificial sets requirement of bound fraction and artist's skill and technique property data base is the same as element samples gimmick feature
It is worth similarity and carries out global alignment, from common skill and technique and drawing, the angle comprehensive identification art work of technique of writing habit is corresponding author
Similarity percentage;It lists and identifies that the similarity percentage of each painting element of works is qualification result output;
The step S2 includes:
Paintings image acquisition step obtains the image data of identified paintings;
Classification and Identification step, the image information according to the various elements in pictorial image for works carry out identification classification, identify
It distinguishes each identification element and information collects block;
Splitting step is refined, refinement dismantling is carried out for each identification element, splits into more careful identification area;
Operating characteristic value switch process, in each identification element of works, the first stroke of a Chinese character used of painting, row pen turn pen, receive pen
Multistage and the different skill and technique characteristics of various pictures are classified, identification record, and are finally converted for convenience of the characteristic value compared is saved;
Authentication step is compared, the various features value of identified paintings and the items in artist's skill and technique property data base is right
Characteristic value is answered to be compared, if comparison value is in given threshold range, judgement is corresponding artistical paintings;Otherwise, judge not
It is corresponding artistical paintings, and correspondingly similarity percentage is provided;
The comparison authentication step includes basic qualification process, style of writing skill and technique qualification process, fuzzy qualification process;
In basic qualification process, identified art work image is split by identification, refinement, the basic calculation of operating characteristic value
Afterwards, same writer's sample in the artificial sets requirement of bound fraction and artist's skill and technique property data base is the same as element samples gimmick feature
It is worth similarity and carries out global alignment, from common skill and technique and drawing, the angle comprehensive identification art work of technique of writing habit is corresponding author
Similarity percentage;
In artist's skill and technique property data base without with author with painting element in the case where, program use is painted type together with author
Works characteristic, the common style of writing gone out in database with the product analysis of author, painting skill, habit characteristic integrated
It compares, a possibility that whether works are author's authentic work is identified in judgement;
If the same painting element of same author can not be found, the similarity percentage of the identification each painting element of works is listed, one side by side
It is exported out with reference to those works and style of writing gimmick as qualification result;
In style of writing skill and technique qualification process, the auxiliary of database is included into as authentic work works, after setting author, painting skill, style of writing,
Identify that each painting element of the works uses the use degree percentage of these skill and technique and style of writing by style of writing skill and technique identification unit, as
The drawing of the author is accustomed to data record, plays the role of promoting the accuracy of appraising datum library;Energy Direct Identification works are each drawn
Draw the reference frame using the use degree of setting painting skill and style of writing on element, as identification works;
In fuzzy qualification process, identified art work image is split by identification, refinement, the basic calculation of operating characteristic value
Afterwards, then with author's approximation painting element authentic works all in artist's skill and technique property data base record characteristic value it is compared;With column
The front three author of each painting element highest similarity and similarity percentage are anti-as qualification result feedback qualification result out
Feedback, for the reference frame for judging the doubtful authentic work possibility of unknown works;
Step S3, the self study of artist's skill and technique feature database updates step, is continuously increased painting art authentic work amount and has reference price
The fakement paintings amount of value improves database, improves the accuracy of decision algorithm.
8. a kind of paintings style of writing identification systems, which is characterized in that the paintings style of writing identification systems include:
Artist's skill and technique feature database constructs module, to special by establishing artist's skill and technique to a large amount of different artist's authentic work works
Levy database;Work images are obtained, and carry out Classification and Identification, details fractionation, the conversion of operating characteristic value, synthesis forms artist's skill
Method property data base, to identify and identifying that graphic art work provides reference frame;
Module is identified, by identification, refinement fractionation, the calculating of operating characteristic value, will obtain to identified art work image
Data be compared with the data in artist's skill and technique feature database, to judge the author of the identified art work.
9. paintings style of writing identification method according to claim 8, it is characterised in that:
The paintings style of writing identification method further includes that artist's skill and technique feature database self study updates step, is continuously increased graphics art
Product authentic work amount and there is the fakement paintings amount of reference value to improve database, improves the accuracy of decision algorithm.
10. paintings style of writing identification systems according to claim 2, it is characterised in that:
The step S1 includes:
Paintings image acquisition step obtains the image data of each artist's paintings;
Classification and Identification step, the image information according to the various elements in each artist's authentic work pictorial image for works are known
Do not classify, each identification element is distinguished in identification and information collects block;
Splitting step is refined, refinement dismantling is carried out for each identification element, splits into more careful identification area;
Operating characteristic value switch process, in each identification element of works, the first stroke of a Chinese character used of painting, row pen turn pen, receive pen
Multistage and the different skill and technique characteristics of various pictures are classified, identification record, and are finally converted for convenience of the characteristic value compared is saved;
Artist's skill and technique property data base forming step stores the data of the corresponding identification element of each artist, for subsequent comparison
Authentication step compares identification;
The step S2 includes:
Paintings image acquisition step obtains the image data of identified paintings;
Classification and Identification step, the image information according to the various elements in pictorial image for works carry out identification classification, identify
It distinguishes each identification element and information collects block;
Splitting step is refined, refinement dismantling is carried out for each identification element, splits into more careful identification area;
Operating characteristic value switch process, in each identification element of works, the first stroke of a Chinese character used of painting, row pen turn pen, receive pen
Multistage and the different skill and technique characteristics of various pictures are classified, identification record, and are finally converted for convenience of the characteristic value compared is saved;
Authentication step is compared, the various features value of identified paintings and the items in artist's skill and technique property data base is right
Characteristic value is answered to be compared, if comparison value is in given threshold range, judgement is corresponding artistical paintings;Otherwise, judge not
It is corresponding artistical paintings, and correspondingly similarity percentage is provided.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110458804A (en) * | 2019-07-05 | 2019-11-15 | 自然资源部珠宝玉石首饰管理中心(国家珠宝玉石质量监督检验中心) | A kind of hotan jade is sub to expect identification systems and method |
CN112732988A (en) * | 2021-01-12 | 2021-04-30 | 青岛农业大学 | System and method for screening and displaying artwork |
WO2023015610A1 (en) * | 2021-08-10 | 2023-02-16 | 万维数码智能有限公司 | Artificial intelligence-based method and system for authenticating ancient and modern artwork |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2009146272A (en) * | 2007-12-17 | 2009-07-02 | Tadaaki Goto | Old painting and calligraphic work assessing system |
CN103116755A (en) * | 2013-01-27 | 2013-05-22 | 深圳市书圣艺术品防伪鉴定有限公司 | Automatic painting and calligraphy authenticity degree detecting system and method thereof |
CN103336942A (en) * | 2013-04-28 | 2013-10-02 | 中山大学 | Traditional Chinese painting identification method based on Radon BEMD (bidimensional empirical mode decomposition) transformation |
CN106338487A (en) * | 2016-09-29 | 2017-01-18 | 北京建筑大学 | Calligraphy and painting identification method and device |
-
2017
- 2017-10-12 CN CN201710947483.XA patent/CN109657527B/en not_active Expired - Fee Related
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2009146272A (en) * | 2007-12-17 | 2009-07-02 | Tadaaki Goto | Old painting and calligraphic work assessing system |
CN103116755A (en) * | 2013-01-27 | 2013-05-22 | 深圳市书圣艺术品防伪鉴定有限公司 | Automatic painting and calligraphy authenticity degree detecting system and method thereof |
CN103336942A (en) * | 2013-04-28 | 2013-10-02 | 中山大学 | Traditional Chinese painting identification method based on Radon BEMD (bidimensional empirical mode decomposition) transformation |
CN106338487A (en) * | 2016-09-29 | 2017-01-18 | 北京建筑大学 | Calligraphy and painting identification method and device |
Non-Patent Citations (1)
Title |
---|
关晓惠;潘纲;吴朝晖;吴敢;: "计算机辅助的国画真伪鉴别研究", 计算机应用与软件 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110458804A (en) * | 2019-07-05 | 2019-11-15 | 自然资源部珠宝玉石首饰管理中心(国家珠宝玉石质量监督检验中心) | A kind of hotan jade is sub to expect identification systems and method |
CN110458804B (en) * | 2019-07-05 | 2023-03-10 | 国家珠宝玉石首饰检验集团有限公司 | Xinjiang Hetian jade material identification system and method |
CN112732988A (en) * | 2021-01-12 | 2021-04-30 | 青岛农业大学 | System and method for screening and displaying artwork |
WO2023015610A1 (en) * | 2021-08-10 | 2023-02-16 | 万维数码智能有限公司 | Artificial intelligence-based method and system for authenticating ancient and modern artwork |
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