Presentation 1995/11/17
Structured learning of character patterns for on-line recognition of handwritten Japanese characters
Van Tu Le, Masaki Nakagawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper describes structural learning of kanji patterns in on-line handwritten character recognition. Character pattern representation dictionary stores character patterns as combinations of subpatterns so that a common subpattern is shared by all the character patterns which include it in their shapes. The recognizer composes every template pattern from constituent subpatterns before matching it with an input pattern. Registration of a character pattern invokes identification and registration of a non-standard subpattern in it so that the effect extends to all the characters whose include it.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) handwritten character recognition / on-line recognition / structures machine learning structured pattern representation / subpattern.
Paper # PRU95-165
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Conference Information
Committee PRU
Conference Date 1995/11/17(1days)
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Paper Information
Registration To Pattern Recognition and Understanding (PRU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Structured learning of character patterns for on-line recognition of handwritten Japanese characters
Sub Title (in English)
Keyword(1) handwritten character recognition
Keyword(2) on-line recognition
Keyword(3) structures machine learning structured pattern representation
Keyword(4) subpattern.
1st Author's Name Van Tu Le
1st Author's Affiliation Dept. of Computer Science, Tokyo Univ. of Agriculture and Technology()
2nd Author's Name Masaki Nakagawa
2nd Author's Affiliation Dept. of Computer Science, Tokyo Univ. of Agriculture and Technology
Date 1995/11/17
Paper # PRU95-165
Volume (vol) vol.95
Number (no) 365
Page pp.pp.-
#Pages 6
Date of Issue