Presentation 2005-03-18
Improvements of On-line Character Recognition Based on Eigen-Deformations
Hiroto MITOMA, Seiichi UCHIDA, Hiroaki SAKOE,
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Abstract(in English) The authors have investigated into online character recognition technique with eigen-deformations, which express frequent deformations of each chategory. To reduce overfitting, this technique evaluates a divergence between eigen-deformations and a fitting result obtained by DP matching between an input pattern and a reference pattern. In this report, which is a further study of the previous investigation, we describe the improvements or investigation mainly on (i) how to evaluate thedeformations, (ii) how to express the deformations. The results of recognition experiment on UNIPEN database showed the usefulness of the proposed technique.
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Keyword(in English) online character recognition / eigen-deformations / DP matching / QDF / UNIPEN database
Paper # TL2004-71,PRMU2004-239
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Committee PRMU
Conference Date 2005/3/11(1days)
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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) Improvements of On-line Character Recognition Based on Eigen-Deformations
Sub Title (in English)
Keyword(1) online character recognition
Keyword(2) eigen-deformations
Keyword(3) DP matching
Keyword(4) QDF
Keyword(5) UNIPEN database
1st Author's Name Hiroto MITOMA
1st Author's Affiliation School of Engineering, Kyushu University()
2nd Author's Name Seiichi UCHIDA
2nd Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University
3rd Author's Name Hiroaki SAKOE
3rd Author's Affiliation Graduate School of Information Science and Electrical Engineering, Kyushu University
Date 2005-03-18
Paper # TL2004-71,PRMU2004-239
Volume (vol) vol.104
Number (no) 742
Page pp.pp.-
#Pages 6
Date of Issue