Presentation 1994/3/25
Cursive Word Recognition Using Selective Attention
Hayaru Shouno, Kunihiko Fukushima,
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Abstract(in English) It is difficult to recognize connected characters in cursive handwriting,because the connecting stroke between characters varies depending to the combination of characters,thus producing slight variatins of the same character.The ′selective attention mo del′ proposed by Fukushima shows good results in recognizing compo site figures consisting of many patterns.Previously Imagawa et al. has attempted to use this model to recognize connected characters. On the other hand,it has been shown that the robustness of the ′ne ocognitron′ to deformed pattern is substantially in creased,when b end extractors and edge extractors are introduced.Therefore,we tried to introduce edge extractors and bend processors into the Imagawa′s system.Computer simulation has shown that this improved system has a higher ability to recognize connected characters.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Cursive Word Recognition / Selective Attention / Neo-Cognitron / Edge-Extractors / Bend-processors
Paper # NC93-119
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Committee NC
Conference Date 1994/3/25(1days)
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Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Cursive Word Recognition Using Selective Attention
Sub Title (in English)
Keyword(1) Cursive Word Recognition
Keyword(2) Selective Attention
Keyword(3) Neo-Cognitron
Keyword(4) Edge-Extractors
Keyword(5) Bend-processors
1st Author's Name Hayaru Shouno
1st Author's Affiliation Department of Biophysical Engineering,Faculty of Science,Osaka University()
2nd Author's Name Kunihiko Fukushima
2nd Author's Affiliation Department of Biophysical Engineering,Faculty of Science,Osaka University
Date 1994/3/25
Paper # NC93-119
Volume (vol) vol.93
Number (no) 537
Page pp.pp.-
#Pages 8
Date of Issue