Presentation 2005-09-22
Online Handwriting Recognition Selecting Hierarchical Spatial Relationship of Subcharacters
Junko TOKUNO, Mitsuru NAKAI, Hiroshi SHIMODAIRA, Shigeki SAGAYAMA,
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Abstract(in English) In this paper, we propose online handwriting recognition method to evaluate the spatial relationship of subcharacters. In this approach, we assume that the distortions of spatial features are dependent on the hierarchy of characters. Accordingly, we selectively evaluate hierarchical spatial relationship of subcharacters. Experiments of online handwriting Kanji character recognition with a lexicon of 1016 elementary characters revealed that our proposed approach reduced the error rate by 4.1% for cursive handwritings, and 4.3% for blind-handwritings.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) online handwriting recognition / substroke HMM / Bayesian Network / distorted handwriting / spatial relationship of subcharacters
Paper # NLC2005-52,PRMU2005-79
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Committee PRMU
Conference Date 2005/9/15(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 Handwriting Recognition Selecting Hierarchical Spatial Relationship of Subcharacters
Sub Title (in English)
Keyword(1) online handwriting recognition
Keyword(2) substroke HMM
Keyword(3) Bayesian Network
Keyword(4) distorted handwriting
Keyword(5) spatial relationship of subcharacters
1st Author's Name Junko TOKUNO
1st Author's Affiliation Center for Innovation and Intellectual Property, Tokyo University of Agriculture and Technology()
2nd Author's Name Mitsuru NAKAI
2nd Author's Affiliation School of Information Science, Japan Advanced Institute of Science and Technology
3rd Author's Name Hiroshi SHIMODAIRA
3rd Author's Affiliation The Centre for Speech Technology Research, The University of Edinburgh
4th Author's Name Shigeki SAGAYAMA
4th Author's Affiliation Graduate School of Information Science and Technology, The University of Tokyo
Date 2005-09-22
Paper # NLC2005-52,PRMU2005-79
Volume (vol) vol.105
Number (no) 302
Page pp.pp.-
#Pages 6
Date of Issue