CN108152217A - A kind of painting and calligraphy vigour of style in writing identification method - Google Patents

A kind of painting and calligraphy vigour of style in writing identification method Download PDF

Info

Publication number
CN108152217A
CN108152217A CN201711314760.XA CN201711314760A CN108152217A CN 108152217 A CN108152217 A CN 108152217A CN 201711314760 A CN201711314760 A CN 201711314760A CN 108152217 A CN108152217 A CN 108152217A
Authority
CN
China
Prior art keywords
calligraphy
painting
style
vigour
writing
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
Application number
CN201711314760.XA
Other languages
Chinese (zh)
Other versions
CN108152217B (en
Inventor
黄鑫
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shaanxi Wen Cast Art Spectrum Technology Co Ltd
Original Assignee
Shaanxi Wen Cast Art Spectrum Technology Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shaanxi Wen Cast Art Spectrum Technology Co Ltd filed Critical Shaanxi Wen Cast Art Spectrum Technology Co Ltd
Priority to CN201711314760.XA priority Critical patent/CN108152217B/en
Publication of CN108152217A publication Critical patent/CN108152217A/en
Application granted granted Critical
Publication of CN108152217B publication Critical patent/CN108152217B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands

Landscapes

  • Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Image Analysis (AREA)
  • Processing Or Creating Images (AREA)

Abstract

The present invention relates to a kind of painting and calligraphy vigour of style in writing identification methods.Include the following steps:Step 1, high light spectrum image-forming;Step 2, high spectrum image pretreatment;Step 3, high spectrum image fusion transformation;Step 4, vigour of style in writing feature extraction and measurement;Step 5, vigour of style in writing characteristic similarity differentiate;It carries out using human eye or visible images that may be present when the vigour of style in writing analyzes and identifies forging difficult identification problem present invention mainly solves existing;By high light spectrum image-forming technology and vigour of style in writing information is obtained atlas analysis technology and modeling analysis, and start with simultaneously in terms of spatially and spectrally two, rather than single spatial information, by it is more efficient, comprehensively and accurately in a manner of complete the objective qualification of the painting and calligraphy vigour of style in writing, so as to preferably aid in the identification of entire painting and calligraphy pieces.Main application is identified in the vigour of style in writing technique of writing to calligraphy, Chinese ink painting, Chinese polychrome painting, external oil painting.

Description

A kind of painting and calligraphy vigour of style in writing identification method
Technical field
The present invention relates to painting and calligraphy appraisal and evaluation fields, the painting and calligraphy transaction field of circulation are mainly used in, more particularly to one kind The EO-1 hyperion identification method of the painting and calligraphy vigour of style in writing.
Background technology
Painting and calligraphy identification refers to while a width calligraphy artwork is appreciated, and the true and false and artistic value to works are made reasonably It is correct to judge.Painting and calligraphy are preserved, research and circulation etc. of merchandising have a very important significance.Its main feature is that the true and false judges first, Quality judges second.On identification method, can from painting and calligraphy pen (vigour of style in writing), with ink or color (pigment), art of composition (composition) etc. Essential information is started with, and is analyzed and determined using abundant painting and calligraphy pieces and writer's background knowledge.
The specific method of painting and calligraphy identification is mainly divided to two aspects:When mesh mirror (expert appraisal), second is that (computer etc. is special for machine mirror Industry means are identified).At present, based on being reflected with mesh, supplemented by machine mirror.In terms of mesh mirror, mainly painting and calligraphy connoisseur is by being a disciple of deep pool The analysis of the artistic characteristics such as source, pen and ink characteristic, artistic characteristics, time style reaches and debates the true and false, makes a clear distinction between right and wrong, break epoch, evaluation of estimate Purpose.In terms of machine mirror, mainly by means such as computer, chemistry, photoelectricity, works feature is analyzed and processed, and Compared with objective history and works priori features, be if being consistent with the history objective characteristics of this author or works it is true, no It may be false to be consistent.Since objective history prior information used in current machine mirror means is mostly unknown and non-comprehensive, machine Mirror method is only used as a kind of painting and calligraphy identification method for aiding in expert appraisal.
As a kind of important painting and calligraphy feature, the expression of the painting and calligraphy technique of writing (vigour of style in writing) is very heavy for the value dimension of painting and calligraphy It will.The image of painting and calligraphy such as shape figure, texture, is mostly embodied by the different techniques of writing.Moreover, the technique of writing also contains artist's creation Phychology, temperament and interest during painting and calligraphy, to express certain artistic conception.No matter Chinese realistic painting or freehand brushwork, traditional painting and calligraphy always be unable to do without some bases This skill and technique, e.g., with strangling, one is taken advantage of a situation and gone hook, and one is gone against gesture, and single is hook, and multiple pen is strangles, and left lateral is hook, right lateral To strangle.For another example the texturing methods or types of texture strokes can show the form quality and textural characteristics of landscape painting.
In addition, the technique of writing be also painting and calligraphy identification core foundation, because of a width painting and calligraphy pieces, no matter its performance what kind of is Theme or artistic conception, author is always by pen and ink with being created.Personal style is different from times flavour, final to implement Difference onto the technique of writing of works.And each word in painting and calligraphy, per block diagram, the density of stroke is distributed, often a small discrepancy, The a thousand li of difference, therefore, the analysis to the painting and calligraphy technique of writing (vigour of style in writing) is identified painting and calligraphy most important.
Traditional technique of writing analysis method based on expert appraisal or based on full-color camera acquisition, is existed mainly or using pen and ink The information of visible light wave range is analyzed, and what is obtained due to human eye or full-color camera is that the integration of visible optical information adds up letter Breath without having spectrum resolution capability, therefore, is typically only capable to its analysis the spatial information of the reflection technique of writing, and this space is believed The true and false of breath is but difficult to be judged, for example, in the case where high-precision is imitated, vigour of style in writing information can be under human eye or intuitive spatial perception Accomplish unanimously, but the true and false is difficult to differentiate, this can influence the accuracy of painting and calligraphy identification.
Invention content
In order to make up above-mentioned the deficiencies in the prior art, the present invention provides a kind of EO-1 hyperion identification method of the painting and calligraphy vigour of style in writing.
The present invention uses following technical scheme:
Step 1, high light spectrum image-forming
To the painting and calligraphy to be checked in original painting and calligraphy and circulation or after circulation, high light spectrum image-forming is carried out using hyperspectral imager, Obtain painting and calligraphy high light spectrum image-forming data;
Step 2, high spectrum image pretreatment
Original painting and calligraphy hyperspectral image data and painting and calligraphy hyperspectral image data to be checked to acquisition be registrated, corrected, Calibration is handled, and obtains pretreatment painting and calligraphy hyperspectral image data;
Step 3, high spectrum image fusion transformation
Bloom is carried out to original pretreatment painting and calligraphy hyperspectral image data and pretreatment painting and calligraphy hyperspectral image data to be checked Image co-registration transformation is composed, obtains painting and calligraphy EO-1 hyperion fusion changing image;
Step 4, vigour of style in writing feature extraction and measurement
Changing image is merged to original painting and calligraphy EO-1 hyperion and painting and calligraphy EO-1 hyperion to be checked fusion changing image carries out the typical vigour of style in writing Extraction and measurement, obtain the feature of painting and calligraphy typical case's vigour of style in writing;
Step 5, vigour of style in writing characteristic similarity differentiate
The vigour of style in writing feature of original painting and calligraphy data and the vigour of style in writing feature of painting and calligraphy data to be checked are compared, by calculating the similar of the two Discriminant value is spent, completes vigour of style in writing identification, similarity is higher than threshold value, then painting and calligraphy to be checked are identical with the original painting and calligraphy vigour of style in writing, are same painting and calligraphy; Similarity is less than threshold value, then painting and calligraphy to be checked and original painting and calligraphy vigour of style in writing difference, are not same painting and calligraphy.
Invent further scheme as this case, the high light spectrum image-forming be in identical environment, including illumination, distance, angle, And under identical Image-forming instrument parameter, obtain visible ray-near-infrared 450-2500nm EO-1 hyperions of original painting and calligraphy and painting and calligraphy to be checked into As data.
Further scheme is invented as this case, and the high spectrum image pretreatment refers to original painting and calligraphy spectrum picture and to be checked Painting and calligraphy spectrum picture is registrated, is corrected, calibration processing, is mainly completed original painting and calligraphy data wherein being registrated and is fond of painting and calligraphy data Spatial position alignment, correct it is main complete the deformation of painting and calligraphy data space and correct, calibrate and main complete painting and calligraphy data spectral information Calibration.
Further scheme is invented as this case, the high spectrum image fusion transformation refers to original pretreatment painting and calligraphy EO-1 hyperion Image and pretreatment painting and calligraphy high spectrum image to be checked carry out Spectral dimension transformation, including but not limited to principal component transform and independence Ingredient converts.
Further scheme is invented as this case, the vigour of style in writing feature extraction refers to measurement puies forward the features such as hook, Le, chapped wave It takes and measures, refer specifically to by building horizontal, vertical, slash, right-falling stroke measurement model, and it is subjected to Windowing search with merging changing image The matching search of above-mentioned four kinds of typical cases vigour of style in writing feature and characteristic measure in blending image are completed in matching.
Further scheme is invented as this case, the painting and calligraphy vigour of style in writing characteristic similarity differentiation, which refers to, utilizes the similar angle of spectrum or phase Closing property function calculates the correlation discriminant value between original painting and calligraphy and painting and calligraphy typical case vigour of style in writing feature to be checked, and is done threshold value and sentenced Disconnected, discriminant value is higher than threshold value, then painting and calligraphy to be checked are identical with the original painting and calligraphy vigour of style in writing, are same painting and calligraphy;Discriminant value is less than threshold value, then treats Painting and calligraphy and original painting and calligraphy vigour of style in writing difference are examined, are not same painting and calligraphy.
The beneficial effects of the invention are as follows:It solves and existing carry out the vigour of style in writing using human eye or visible images and analyze and identify When that may be present forge difficult identification problem;Vigour of style in writing information is obtained by high light spectrum image-forming technology and atlas analysis technology And modeling analysis, and start with simultaneously in terms of spatially and spectrally two rather than single spatial information, with more efficient, comprehensive, accurate True mode completes the objective qualification of the painting and calligraphy vigour of style in writing, so as to preferably aid in the identification of entire painting and calligraphy pieces.Main application It is identified in the vigour of style in writing technique of writing to calligraphy, Chinese ink painting, Chinese polychrome painting, external oil painting.
Description of the drawings
Fig. 1 is the high light spectrum image-forming painting and calligraphy vigour of style in writing identity process of the present invention.
Specific embodiment
The present invention is further elaborated in the following with reference to the drawings and specific embodiments.
A kind of painting and calligraphy vigour of style in writing identification method, includes the following steps:
Step 1, high light spectrum image-forming
To the painting and calligraphy to be checked in original painting and calligraphy and circulation or after circulation, high light spectrum image-forming is carried out using hyperspectral imager, In identical environment, including illumination (halogen lamp), distance (2 meters), angle (right angle) and identical Image-forming instrument parameter, (3nm spectrum divide Resolution, 30nm focal lengths, 1000*1000 pixels) under, obtain visible ray-near-infrared (450- of original painting and calligraphy and painting and calligraphy to be checked 2500nm) high light spectrum image-forming data;
Step 2, high spectrum image pretreatment
Original painting and calligraphy hyperspectral image data and painting and calligraphy hyperspectral image data to be checked to acquisition be registrated, corrected, Calibration is handled, and obtains pretreatment painting and calligraphy hyperspectral image data.Wherein it is registrated the sky mainly completed original painting and calligraphy Yu be fond of painting and calligraphy Between position alignment, using central point and characteristic point alignment scheme;Correction is main to complete the deformation amendment of painting and calligraphy data space, refers to visual field Distortion correction is matched with image zooming;Calibration is main to complete painting and calligraphy data spectral calibration, including white balance and radiant correction etc.;
Step 3, high spectrum image fusion transformation
Spectrum is carried out to original pretreatment painting and calligraphy hyperspectral image data and pretreatment painting and calligraphy hyperspectral image data to be checked The high spectrum image fusion transformation of dimension, obtains painting and calligraphy EO-1 hyperion fusion changing image.Here using principal component transform, and the is chosen One principal component image is fusion changing image;
Step 4, vigour of style in writing feature extraction and measurement
Changing image is merged to original painting and calligraphy EO-1 hyperion and painting and calligraphy EO-1 hyperion to be checked fusion changing image carries out the typical vigour of style in writing Extraction and measurement, obtain the feature of painting and calligraphy typical case's vigour of style in writing.Especially by build it is horizontal, vertical, skim, right-falling stroke measurement model, and by its with Merge changing image and carry out Windowing search matching, complete in blending image the matching search of above-mentioned four kinds of typical vigour of style in writing features with Characteristic measure obtains the matching degree vector of four kinds of vigour of style in writing models;
Step 5, vigour of style in writing characteristic similarity differentiate
The vigour of style in writing feature (matching degree vector) of painting and calligraphy data original and to be checked is compared, is differentiated by the similarity for calculating the two Value completes vigour of style in writing identification.The similar angle of spectrum is selected to calculate function for discriminant value, selects fixed threshold as threshold process mode.Sentence Threshold value Zhi be higher than, then painting and calligraphy to be checked are identical with the original painting and calligraphy vigour of style in writing, are same painting and calligraphy;Discriminant value is less than threshold value, then book to be checked Picture is different with the original painting and calligraphy vigour of style in writing, is not same painting and calligraphy.
The above is present pre-ferred embodiments, for the ordinary skill in the art, according to the present invention Introduction, in the case where not departing from the principle of the present invention and spirit, the changes, modifications, replacement and the change that are carried out to embodiment Type is still fallen within protection scope of the present invention.

Claims (6)

1. a kind of painting and calligraphy vigour of style in writing identification method, which is characterized in that include the following steps:
Step 1, high light spectrum image-forming
To the painting and calligraphy to be checked in original painting and calligraphy and circulation or after circulation, high light spectrum image-forming is carried out using hyperspectral imager, is obtained Painting and calligraphy high light spectrum image-forming data;
Step 2, high spectrum image pretreatment
Original painting and calligraphy hyperspectral image data and painting and calligraphy hyperspectral image data to be checked to acquisition are registrated, are corrected, are calibrated Processing obtains pretreatment painting and calligraphy hyperspectral image data;
Step 3, high spectrum image fusion transformation
High-spectrum is carried out to original pretreatment painting and calligraphy hyperspectral image data and pretreatment painting and calligraphy hyperspectral image data to be checked As fusion transformation, painting and calligraphy EO-1 hyperion fusion changing image is obtained;
Step 4, vigour of style in writing feature extraction and measurement
Changing image is merged to original painting and calligraphy EO-1 hyperion and painting and calligraphy EO-1 hyperion to be checked fusion changing image carries out the typical vigour of style in writing and carries It takes and measures, obtain the feature of painting and calligraphy typical case's vigour of style in writing;
Step 5, vigour of style in writing characteristic similarity differentiate
The vigour of style in writing feature of original painting and calligraphy data and the vigour of style in writing feature of painting and calligraphy data to be checked are compared, is sentenced by the similarity for calculating the two It is not worth, completes vigour of style in writing identification, similarity is higher than threshold value, then painting and calligraphy to be checked are identical with the original painting and calligraphy vigour of style in writing, are same painting and calligraphy;It is similar Degree is less than threshold value, then painting and calligraphy to be checked and original painting and calligraphy vigour of style in writing difference, are not same painting and calligraphy.
A kind of 2. painting and calligraphy vigour of style in writing identification method according to claim 1, which is characterized in that step 1 high light spectrum image-forming It is in identical environment, including under illumination, distance, angle and identical Image-forming instrument parameter, obtaining original painting and calligraphy and painting and calligraphy to be checked Visible ray-near-infrared 450-2500nm high light spectrum image-forming data.
3. a kind of painting and calligraphy vigour of style in writing identification method according to claim 1, it is characterised in that step 2 high spectrum image is pre- Processing refer to original painting and calligraphy spectrum picture and painting and calligraphy spectrum picture to be checked are registrated, corrected, calibration processing, wherein registration is main It completes original painting and calligraphy data to be aligned with being fond of the spatial position of painting and calligraphy data, corrects main completion painting and calligraphy data space deformation and repair Just, calibration is main completes the calibration of painting and calligraphy data spectral information.
A kind of 4. painting and calligraphy vigour of style in writing identification method according to claim 1, which is characterized in that step 3 high spectrum image Fusion transformation refers to carries out Spectral dimension to original pretreatment painting and calligraphy high spectrum image and pretreatment painting and calligraphy high spectrum image to be checked Transformation, including but not limited to principal component transform and independent element transformation.
A kind of 5. painting and calligraphy vigour of style in writing identification method according to claim 1, which is characterized in that the vigour of style in writing feature of the step 4 Extraction refers to the extraction to features such as hook, Le, chapped waves and measurement with measurement, refers specifically to by building horizontal, vertical, slash, right-falling stroke measurement model, And it is subjected to Windowing search matching, for completing above-mentioned four kinds typical vigour of style in writing features in blending image with merging changing image With search and characteristic measure.
A kind of 6. painting and calligraphy vigour of style in writing identification method according to claim 1, which is characterized in that the painting and calligraphy vigour of style in writing of the step 5 Characteristic similarity differentiation refers to calculates original painting and calligraphy and painting and calligraphy typical case vigour of style in writing feature to be checked using the similar angle of spectrum or relevance function Between correlation discriminant value, and done threshold decision, discriminant value is higher than threshold value, then painting and calligraphy to be checked and original painting and calligraphy vigour of style in writing phase Together, it is same painting and calligraphy;Discriminant value is less than threshold value, then painting and calligraphy to be checked and original painting and calligraphy vigour of style in writing difference, are not same painting and calligraphy.
CN201711314760.XA 2017-12-12 2017-12-12 Method for identifying writing and drawing tips Expired - Fee Related CN108152217B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201711314760.XA CN108152217B (en) 2017-12-12 2017-12-12 Method for identifying writing and drawing tips

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201711314760.XA CN108152217B (en) 2017-12-12 2017-12-12 Method for identifying writing and drawing tips

Publications (2)

Publication Number Publication Date
CN108152217A true CN108152217A (en) 2018-06-12
CN108152217B CN108152217B (en) 2020-07-31

Family

ID=62466942

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201711314760.XA Expired - Fee Related CN108152217B (en) 2017-12-12 2017-12-12 Method for identifying writing and drawing tips

Country Status (1)

Country Link
CN (1) CN108152217B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109543757A (en) * 2018-11-27 2019-03-29 陕西文投艺术品光谱科技有限公司 A kind of painting and calligraphy painting style identification method based on spectral imaging technology and atlas analysis

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102496180A (en) * 2011-12-15 2012-06-13 李大锦 Method for automatically generating wash landscape painting image
CN103164699A (en) * 2013-04-09 2013-06-19 北京盛世融宝国际艺术品投资有限公司 Painting and calligraphy work fidelity identification system
CN104134150A (en) * 2014-07-30 2014-11-05 刘思岩 Computer assisted Chinese art paper painting and calligraphy identification method
CN204255501U (en) * 2014-10-29 2015-04-08 北京帝测科技股份有限公司 A kind of for the Hyperspectral imaging devices that ancient character is drawn and cultural and artistic products is differentiated
CN106338487A (en) * 2016-09-29 2017-01-18 北京建筑大学 Calligraphy and painting identification method and device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102496180A (en) * 2011-12-15 2012-06-13 李大锦 Method for automatically generating wash landscape painting image
CN103164699A (en) * 2013-04-09 2013-06-19 北京盛世融宝国际艺术品投资有限公司 Painting and calligraphy work fidelity identification system
CN104134150A (en) * 2014-07-30 2014-11-05 刘思岩 Computer assisted Chinese art paper painting and calligraphy identification method
CN204255501U (en) * 2014-10-29 2015-04-08 北京帝测科技股份有限公司 A kind of for the Hyperspectral imaging devices that ancient character is drawn and cultural and artistic products is differentiated
CN106338487A (en) * 2016-09-29 2017-01-18 北京建筑大学 Calligraphy and painting identification method and device

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109543757A (en) * 2018-11-27 2019-03-29 陕西文投艺术品光谱科技有限公司 A kind of painting and calligraphy painting style identification method based on spectral imaging technology and atlas analysis

Also Published As

Publication number Publication date
CN108152217B (en) 2020-07-31

Similar Documents

Publication Publication Date Title
Rozantsev et al. On rendering synthetic images for training an object detector
CN102657532B (en) Height measuring method and device based on body posture identification
CN105913093B (en) A kind of template matching method for Text region processing
JP2023036784A (en) Virtual facial makeup removal, fast facial detection and landmark tracking
WO2017049994A1 (en) Hyperspectral image corner detection method and system
Varol et al. Monocular 3D reconstruction of locally textured surfaces
Raffei et al. A low lighting or contrast ratio visible iris recognition using iso-contrast limited adaptive histogram equalization
CN112084927B (en) Lip language identification method fusing multiple visual information
CN104751111B (en) Identify the method and system of human body behavior in video
CN106355579A (en) Defect detecting method of cigarette carton surface wrinkles
CN109507198A (en) Mask detection system and method based on Fast Fourier Transform (FFT) and linear Gauss
TW201740311A (en) Facial image-processing method and system thereof
CN108242061B (en) Supermarket shopping cart hand identification method based on Sobel operator
CN108152217A (en) A kind of painting and calligraphy vigour of style in writing identification method
CN106204564A (en) A kind of laser photocentre extracting method
CN113970560A (en) Defect three-dimensional detection method based on multi-sensor fusion
CN114972895B (en) Nondestructive testing method and device for crayfish quality
CN106570501A (en) Automatic identification method for characters on instrument panel
Saha et al. An approach to detect the region of interest of expressive face images
Kemelmacher-Shlizerman et al. 3D shape reconstruction of Mooney faces
KR101391667B1 (en) A model learning and recognition method for object category recognition robust to scale changes
JP2015228992A (en) Visual axis analysis system and visual axis analysis device
CN109724921B (en) Painting and calligraphy identification map feature representation method based on spectral imaging technology
CN106503611A (en) Facial image eyeglass detection method based on marginal information projective iteration mirror holder crossbeam
Kose et al. Block based face recognition approach robust to nose alterations

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20200731

Termination date: 20201212