Presentation 2001/12/14
On-line Handwritten Character Recognition Based on Substroke-HMM with Writing Pressure Features
Takashi SUDO, Mitsuru NAKAI, Hiroshi SHIMODAIRA, Shigeki SAGAYAMA,
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Abstract(in English) This paper discusses the use of pen pressure as a feature in writer-independent on-line hand-written character recognition. We propose two kinds of features related to pen pressure: one is the pressure representing pen ups and downs in a continuous manner the other is the time-derivative of the pressure representing the temporal pattern of the pen pressure. Combining either of them with the exisiting feature (velocity vector), a three-dimensional feature is composed for character recognition. Some techniques of interpolating the pen pressure during the pen-up interval is also proposed for a preprocessing purpose. Through experimental evaluation using 1, 016 elementary Kanji characters compared with the baseline performance using velocity vector only, the additional use of pen pressure improved the performance from 96.90% to 97.77% for careful writing and from 90.30% to 92.37% for scribbles.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) on-line handwritten character recognition / stroke HMM / writer independent / writing pressure / cursive writings
Paper # PRMU2001-189
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Conference Information
Committee PRMU
Conference Date 2001/12/14(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) On-line Handwritten Character Recognition Based on Substroke-HMM with Writing Pressure Features
Sub Title (in English)
Keyword(1) on-line handwritten character recognition
Keyword(2) stroke HMM
Keyword(3) writer independent
Keyword(4) writing pressure
Keyword(5) cursive writings
1st Author's Name Takashi SUDO
1st Author's Affiliation School of Information Science, Japan Advanced Institute of Science 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 School of Information Science, Japan Advanced Institute of Science and Technology
4th Author's Name Shigeki SAGAYAMA
4th Author's Affiliation Graduate School of Information Science and Technology, University of Tokyo:School of Information Science, Japan Advanced Institute of Science and Technology
Date 2001/12/14
Paper # PRMU2001-189
Volume (vol) vol.101
Number (no) 525
Page pp.pp.-
#Pages 8
Date of Issue