Presentation 1998/3/20
Neocognitoron with New Mechanism of Bend-detector
Eiji Kimura, Kunihiko Fukushima, Hayaru Shouno,
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Abstract(in English) In visual pattern recognition, it is important to extract local features from input patterns. Linecrossings are one of such important features. We propose to use a neural network with a mechanism of disinhibition for the detection of line crosses, bends and end points. Bend-detector network which is uesd in the neocognitoron detects only curvature and end-points in inout pattern. We modified bend-detector to use disinhibition mechanism to detect not only end-points of lines and curvature also line-crossing feature which is important recogizing patterns. This modified neocognitoron has recognized handwriting degits in the ETL-1 data base with a recognition rate of about 98%.
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Keyword(in English) visual pattern recognition / hundwriting degits / disinhibition / patten recognition / feature extraction
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Committee NC
Conference Date 1998/3/20(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Neocognitoron with New Mechanism of Bend-detector
Sub Title (in English)
Keyword(1) visual pattern recognition
Keyword(2) hundwriting degits
Keyword(3) disinhibition
Keyword(4) patten recognition
Keyword(5) feature extraction
1st Author's Name Eiji Kimura
1st Author's Affiliation Department of Systems and Human Science Graduate School of Engineering Science, Osaka University()
2nd Author's Name Kunihiko Fukushima
2nd Author's Affiliation Department of Systems and Human Science Graduate School of Engineering Science, Osaka University
3rd Author's Name Hayaru Shouno
3rd Author's Affiliation Department of Systems and Human Science Graduate School of Engineering Science, Osaka University
Date 1998/3/20
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Volume (vol) vol.97
Number (no) 624
Page pp.pp.-
#Pages 8
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