Presentation 2004/2/13
Online Character Recognition Using Eigen-Deformations
Hiroto MITOMA, Seiichi UCHIDA, Hiroaki SAKOE,
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Abstract(in English) In online character recognition based on elastic matching, such as DP matching, many of misrecognitions are often due to over fitting, which is the phenomenon that a wrong reference pattern is closely fitted an input pattern. In this report, a technique to suppress those misrecognitions is proposed, where frequent deformations of each category, called eigen-deformations, are utilized. In case of overfitting, the matching between the two patterns will diverge from the eigen-deformations of the category of the reference pattern. Thus, the overfitting can be detected by evaluating the divergence. The result of a recognition experiment showed the usefulness of the proposed technique.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Online character recognition / eigen-deformations / DP matching / principal component analysis
Paper # TL2003-47,PRMU2003-233
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Conference Information
Committee PRMU
Conference Date 2004/2/13(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) Online Character Recognition Using Eigen-Deformations
Sub Title (in English)
Keyword(1) Online character recognition
Keyword(2) eigen-deformations
Keyword(3) DP matching
Keyword(4) principal component analysis
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 Faculty of Information Science and Electrical Engineering, Kyushu University
3rd Author's Name Hiroaki SAKOE
3rd Author's Affiliation Faculty of Information Science and Electrical Engineering, Kyushu University
Date 2004/2/13
Paper # TL2003-47,PRMU2003-233
Volume (vol) vol.103
Number (no) 659
Page pp.pp.-
#Pages 6
Date of Issue