Presentation 1994/1/21
Improvement of the Accuracy in Handwritten Numeral Recognition by increased direction indices
Tetsushi Wakabayashi, Shinji Tsuruoka, Fumitaka Kimura, Yasuji Miyake,
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Abstract(in English) To improve the recognition rate in statistical character recognition,it is used generally to increase the size of the feature vector by the refinement of spatial division.However,in the simple stroke images like alphanumeric characters,the normality of the distribution for there feature vectors reduces as the number of the border points in each subregion decreases,and that the recognition rate can′t be improved.In this report we intr oduce a method using increased direction indices derived from the gray level gradients in the character image.In a computer experiment,we obtained a good recognition rate(correct:99.21%, error:0.79%)with handwritten 3-digit ZIP codes from Second IPTP character Recognition Competition.
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Keyword(in English) character recognition / pattern recognition / ZIP code recognition / feature extraction / gradient / normality
Paper # PRU93-127
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Conference Information
Committee PRU
Conference Date 1994/1/21(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) Improvement of the Accuracy in Handwritten Numeral Recognition by increased direction indices
Sub Title (in English)
Keyword(1) character recognition
Keyword(2) pattern recognition
Keyword(3) ZIP code recognition
Keyword(4) feature extraction
Keyword(5) gradient
Keyword(6) normality
1st Author's Name Tetsushi Wakabayashi
1st Author's Affiliation Department of Information Engineering,Faculty of Engineering,Mie University()
2nd Author's Name Shinji Tsuruoka
2nd Author's Affiliation Department of Electrical and Electronic Engineering,Faculty of Engineering,Mie University
3rd Author's Name Fumitaka Kimura
3rd Author's Affiliation Department of Information Engineering,Faculty of Engineering,Mie University
4th Author's Name Yasuji Miyake
4th Author's Affiliation Department of Information Engineering,Faculty of Engineering,Mie University
Date 1994/1/21
Paper # PRU93-127
Volume (vol) vol.93
Number (no) 431
Page pp.pp.-
#Pages 8
Date of Issue