Presentation 2002/12/13
The Handprinted of Character Recognition using Gabor Filter
Yuichi Mitsugi, Hikaru Mizutani,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes a new approach for handwritten character recognition, using a Gabor filter. As Gabor filters can be implemented using Cellular Neural Networks, this method is expected to lead the way to a very fast character recognition system. Gaber filter detect the direction of edges, and the directions are added. The character is recognised by this function called "orientation map". Then this functiondoesnot influence thepositionofacharacter, size and thickness.
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Keyword(in English) Gabor Filter / Fourier Transform / Cellular Neural Networks
Paper # NLP2002-91
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Conference Information
Committee NLP
Conference Date 2002/12/13(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) The Handprinted of Character Recognition using Gabor Filter
Sub Title (in English)
Keyword(1) Gabor Filter
Keyword(2) Fourier Transform
Keyword(3) Cellular Neural Networks
1st Author's Name Yuichi Mitsugi
1st Author's Affiliation Dept. of Electrical Eng., Shonan Institute of Technology()
2nd Author's Name Hikaru Mizutani
2nd Author's Affiliation Dept. of Electrical Eng., Shonan Institute of Technology
Date 2002/12/13
Paper # NLP2002-91
Volume (vol) vol.102
Number (no) 536
Page pp.pp.-
#Pages 4
Date of Issue