Presentation | 2006-10-20 Feedback Character Recognition Using Feature Modification by Neural Network Kiyofumi Kusakabe, Yoshimasa Kimura, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes the method of feedback recognition system in character recognition. The pattern which recognition reliability is low will be transferred to discrimination part and is performed a minute modification so as to bring its feature close to the features of reference patterns, and is recognized again. Modification of the feature vector is done by using neural networks. On the experiments using 3,036 different characters including the JIS level-1 Kanji character, the correct recognition rate has improved by repeating feedback. Moreover, it was clarified that the effect of feedback had appeared strongly in categories whose initial recognition rate is low. The principle of feedback that enables to recognize reject pattern using neural networks is confirmed by these results. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Character Recognition / Feedback / Neural Networks / Displaced Feature / Learning |
Paper # | PRMU2006-109 |
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Committee | PRMU |
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Conference Date | 2006/10/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Feedback Character Recognition Using Feature Modification by Neural Network |
Sub Title (in English) | |
Keyword(1) | Character Recognition |
Keyword(2) | Feedback |
Keyword(3) | Neural Networks |
Keyword(4) | Displaced Feature |
Keyword(5) | Learning |
1st Author's Name | Kiyofumi Kusakabe |
1st Author's Affiliation | Kochi University of Technology() |
2nd Author's Name | Yoshimasa Kimura |
2nd Author's Affiliation | Kochi University of Technology |
Date | 2006-10-20 |
Paper # | PRMU2006-109 |
Volume (vol) | vol.106 |
Number (no) | 301 |
Page | pp.pp.- |
#Pages | 6 |
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