Presentation 2002/3/8
Handwritten Character Recognition Using Learning Pattern Generation by Nonlinear Normalization
Noriyuki EBISAWA, Yuji WAIZUMI, Nei KATO, Yoshiaki NEMOTO,
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Abstract(in English) In pattern recognition system, the learning pattern size is restricted in many cases. If the learning pattern size is small, an error is occurred in the presumed pattern distribution. As its result, the recognition accuracy is decreased. In this paper, we propose the method for generating variety of learning patterns which have the feature of handwritten characters by using nonlinear normalization technique conversely. We show an increase in recognition accuracy by experiment using the database ETL9B (71 letters of hiragana). In addition, we are succeeded to increase recognition accuracy by selecting generated adequate patterns.
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Keyword(in English) Nonlinear Normalization / Learning Pattern Generation / Handwritten character Recognition / ETL9B
Paper # PRMU2001-276
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Conference Information
Committee PRMU
Conference Date 2002/3/8(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Handwritten Character Recognition Using Learning Pattern Generation by Nonlinear Normalization
Sub Title (in English)
Keyword(1) Nonlinear Normalization
Keyword(2) Learning Pattern Generation
Keyword(3) Handwritten character Recognition
Keyword(4) ETL9B
1st Author's Name Noriyuki EBISAWA
1st Author's Affiliation Graduate School of Information Sciences, TOHOKU University()
2nd Author's Name Yuji WAIZUMI
2nd Author's Affiliation Graduate School of Information Sciences, TOHOKU University
3rd Author's Name Nei KATO
3rd Author's Affiliation Graduate School of Information Sciences, TOHOKU University
4th Author's Name Yoshiaki NEMOTO
4th Author's Affiliation Graduate School of Information Sciences, TOHOKU University
Date 2002/3/8
Paper # PRMU2001-276
Volume (vol) vol.101
Number (no) 713
Page pp.pp.-
#Pages 8
Date of Issue