Presentation | 1998/2/19 A Discriminant Function for Noisy Pattern Recognition and Its Application to Blurred Chinese Character Recognition Shin'ichiro OMACHI, Fang SUN, Hirotomo ASO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, a new discriminant function for recognition of noisy patterns is presented. If noise is added to input data, the distribution of feature vectors will change according to the noise. In this case, probability density function of distribution is considered to be necessary to reflect the changes. We investigate how distribution of vectors changes if noise is added to some elements of vectors, and a discriminant function that reflects the changes is proposed. This method supplements the existing statistical methods and has high ability of recognition of data with noise. The effectiveness of the new method is shown by simulations with artificial data and experiments with real blurred character images. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | character recognition / Mahalanobis distance / Bayes classifier / distribution |
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Conference Information | |
Committee | PRMU |
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Conference Date | 1998/2/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (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) | A Discriminant Function for Noisy Pattern Recognition and Its Application to Blurred Chinese Character Recognition |
Sub Title (in English) | |
Keyword(1) | character recognition |
Keyword(2) | Mahalanobis distance |
Keyword(3) | Bayes classifier |
Keyword(4) | distribution |
1st Author's Name | Shin'ichiro OMACHI |
1st Author's Affiliation | School of Engineering, Tohoku University() |
2nd Author's Name | Fang SUN |
2nd Author's Affiliation | School of Engineering, Tohoku University |
3rd Author's Name | Hirotomo ASO |
3rd Author's Affiliation | School of Engineering, Tohoku University |
Date | 1998/2/19 |
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Volume (vol) | vol.97 |
Number (no) | 558 |
Page | pp.pp.- |
#Pages | 8 |
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