Presentation 2004/5/21
An Extraction of Individual Characteristics from Handwritten Chinese Characters Based on Knowledge of Handwriting Analysis
Yoshikazu NAKAMURA, Masatsugu KIDODE,
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Abstract(in English) Extracting individual characteristics from handwriting is one of important subjects in automatic writer recognition. This paper proposes a method for extracting individual characteristics from handwritten Chinese characters captured with an electronic tablet. Individual characteristics are defined as feature parameters derived from the knowledge of handwriting analysis. Those feature parameters are evaluated by the analysis of variance and Kruskal-Wallis test. The result of the evaluation shows that all feature parameters vary from one person to another. The feasibility of automatic writer recognition using the feature parameters is examined with experiments on writer identification and verification. As a result of the experiments, the correct identification rate is 95.16% and the correct verification rate is 97.68%.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Individual characteristics / Handwriting / Chinese character / Writer identification / Writer verification / Handwriting analysis
Paper # PRMU2004-23,MI2004-23,WIT2004-23
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Committee WIT
Conference Date 2004/5/21(1days)
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Registration To Well-being Information Technology(WIT)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Extraction of Individual Characteristics from Handwritten Chinese Characters Based on Knowledge of Handwriting Analysis
Sub Title (in English)
Keyword(1) Individual characteristics
Keyword(2) Handwriting
Keyword(3) Chinese character
Keyword(4) Writer identification
Keyword(5) Writer verification
Keyword(6) Handwriting analysis
1st Author's Name Yoshikazu NAKAMURA
1st Author's Affiliation Nara National College of Technology()
2nd Author's Name Masatsugu KIDODE
2nd Author's Affiliation Graduate School of Information Science, Nara Institute of Science and Technology
Date 2004/5/21
Paper # PRMU2004-23,MI2004-23,WIT2004-23
Volume (vol) vol.104
Number (no) 93
Page pp.pp.-
#Pages 6
Date of Issue