article

An interactive grading and learning system for chinese calligraphy

Authors:

Chin-Chuan Han,

Chih-Hsun Chou,

Chung-Shiou WuAuthors Info & Claims

Machine Vision and Applications, Volume 19, Issue 1

Pages 43 - 55

https://doi.org/10.1007/s00138-007-0076-0

Published: 15 January 2008 Publication History

Abstract

Chinese calligraphy is an oriental art. In this paper, an interactive calligraphic guiding system is first proposed to grade the score of written characters by using the image processing and the fuzzy inference techniques. The written documents are automatically segmented. Three quantized features, the center, the size and the projections of each written character, are extracted to measure the score of calligraphy. The system also gives some improving instructions for users. Some experimental results are given to show the validity and effectiveness of our proposed system. Through this useful system, users could learn and practice Chinese calligraphy at home.

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Zhao QXiong MPeng Y(2024)A Template-Free Multidimensional Aesthetic Evaluation Method for Chinese Character ImagesProceedings of the 2024 4th International Conference on Human-Machine Interaction10.1145/3678429.3678433(20-29)Online publication date: 24-May-2024
https://dl.acm.org/doi/10.1145/3678429.3678433
Chen WSu JSong WXu JZhu GLi YJi YLiu C(2024)Quality evaluation methods of handwritten Chinese characters: a comprehensive surveyMultimedia Systems10.1007/s00530-024-01396-830:4Online publication date: 4-Jul-2024
https://dl.acm.org/doi/10.1007/s00530-024-01396-8
Lai YZhang X(2021)Evaluating the Stability of Digital Ink Chinese Characters from CFL Beginners Based on Center of Gravity Guided by CalligraphyProceedings of the 2021 4th International Conference on Big Data and Education10.1145/3451400.3451404(19-25)Online publication date: 3-Feb-2021
https://dl.acm.org/doi/10.1145/3451400.3451404
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cover image Machine Vision and Applications

Machine Vision and Applications Volume 19, Issue 1

January 2008

70 pages

ISSN:0932-8092

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 15 January 2008

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Zhao QXiong MPeng Y(2024)A Template-Free Multidimensional Aesthetic Evaluation Method for Chinese Character ImagesProceedings of the 2024 4th International Conference on Human-Machine Interaction10.1145/3678429.3678433(20-29)Online publication date: 24-May-2024
https://dl.acm.org/doi/10.1145/3678429.3678433
Chen WSu JSong WXu JZhu GLi YJi YLiu C(2024)Quality evaluation methods of handwritten Chinese characters: a comprehensive surveyMultimedia Systems10.1007/s00530-024-01396-830:4Online publication date: 4-Jul-2024
https://dl.acm.org/doi/10.1007/s00530-024-01396-8
Lai YZhang X(2021)Evaluating the Stability of Digital Ink Chinese Characters from CFL Beginners Based on Center of Gravity Guided by CalligraphyProceedings of the 2021 4th International Conference on Big Data and Education10.1145/3451400.3451404(19-25)Online publication date: 3-Feb-2021
https://dl.acm.org/doi/10.1145/3451400.3451404
Jian MDong JGong MYu HNie LYin YLam K(2020)Learning the Traditional Art of Chinese Calligraphy via Three-Dimensional Reconstruction and AssessmentIEEE Transactions on Multimedia10.1109/TMM.2019.293718722:4(970-979)Online publication date: 24-Mar-2020
https://dl.acm.org/doi/10.1109/TMM.2019.2937187
Wen YSigüenza J(2019)Chinese CalligraphyProceedings of the 2019 8th International Conference on Computing and Pattern Recognition10.1145/3373509.3373512(390-394)Online publication date: 23-Oct-2019
https://dl.acm.org/doi/10.1145/3373509.3373512
Chu TTaele PHammond TBatty CReilly D(2018)Supporting Chinese Character Educational Interfaces with Richer Assessment Feedback through Sketch RecognitionProceedings of the 44th Graphics Interface Conference10.20380/GI2018.08(50-57)Online publication date: 1-Jun-2018
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Sadikoglu FSoroush B(2016)Intelligent System for Persian Calligraphy LearningProcedia Computer Science10.1016/j.procs.2016.09.442102:C(555-561)Online publication date: 1-Dec-2016
https://dl.acm.org/doi/10.1016/j.procs.2016.09.442
Sun RLian ZTang YXiao J(2015)Aesthetic visual quality evaluation of Chinese handwritingsProceedings of the 24th International Conference on Artificial Intelligence10.5555/2832581.2832600(2510-2516)Online publication date: 25-Jul-2015
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Interactive creation of Chinese calligraphy with the application in calligraphy education

Recognition of hand-printed Chinese characters using decision trees/machine learning C4.5 system

Hand Printed Chinese Character Recognition via Machine Learning

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