Presentation 2000/6/16
PRMU2000-36 Evaluation of HMM Based On-line Handwritten Character Recognition with Subcharacter Model Units
Mitsuru NAKAI, Shigeki SAGAYAMA, Naoto AKIRA, Hisao KOBA, Hiroshi SHIMODAIRA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper describes a new on-line handwritten character recognition scheme based on subcharacter HMM units and we report base accuracies of proposed method by using simple stroke units that minimize a memory requirement for models and dictionaries. For evaluation, we collected two kinds of handwritten character databases(α set and β set)from students. The α set is a fixed stroke order Kanji database with 1016 character categories of an old and new educational Kanji from 108 people. The other β set consists of about 1200 characters per person by free stroke order from 80 people and includes whole 6353 Kanji of JIS 1st level and 2nd level sets. In experiments, we achieved correct recognition rate of above 94% by using the α set database and achieved about 80% correct rate in 6535 categories recognition by using the β set database that includes 5337 untrained characters. We also show an improvement of recognition accuracy by using writer adaptation technique.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) on-line handwritten character recognition / HMM / writer adaptation / untrained character / database
Paper # PRMU2000-36
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Conference Information
Committee PRMU
Conference Date 2000/6/16(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) PRMU2000-36 Evaluation of HMM Based On-line Handwritten Character Recognition with Subcharacter Model Units
Sub Title (in English)
Keyword(1) on-line handwritten character recognition
Keyword(2) HMM
Keyword(3) writer adaptation
Keyword(4) untrained character
Keyword(5) database
1st Author's Name Mitsuru NAKAI
1st Author's Affiliation School of Information Science, Japan Advanced Institute of Science and Technology()
2nd Author's Name Shigeki SAGAYAMA
2nd Author's Affiliation School of Information Science, Japan Advanced Institute of Science and Technology
3rd Author's Name Naoto AKIRA
3rd Author's Affiliation School of Information Science, Japan Advanced Institute of Science and Technology
4th Author's Name Hisao KOBA
4th Author's Affiliation Faculty of Fine Arts and Informatics, Kanazawa Gakuin University
5th Author's Name Hiroshi SHIMODAIRA
5th Author's Affiliation School of Information Science, Japan Advanced Institute of Science and Technology
Date 2000/6/16
Paper # PRMU2000-36
Volume (vol) vol.100
Number (no) 135
Page pp.pp.-
#Pages 8
Date of Issue