Presentation | 2000/2/21 Evaluation of Fast Nearest Neighbor Searching Algorithms for Handprinted Character Recognition Shunji Uchimura, Kouji Katsumoto, Yoshihiko Hamamoto, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | When a large number of reference patterns are available, or the feature size is very large, a nearest neighbor classifier needs large computational time. Hence, some fast algorithms for searching a nearest neighbor of an input pattern have been proposed. However, it is not known which of the fast algorithms is best for a handprinted character recognition system. In this paper, we compare several fast algorithms in terms of CPU time for searching a nearest neighbor. Experimental results show that MPS method and Fukunaga's mathod well perform. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | nearest neighbor classifier / fast search algorithm / CPU time / Euclidean distance / tree structure / Gabor features |
Paper # | PRMU99-221 |
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Committee | PRMU |
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Conference Date | 2000/2/21(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) | Evaluation of Fast Nearest Neighbor Searching Algorithms for Handprinted Character Recognition |
Sub Title (in English) | |
Keyword(1) | nearest neighbor classifier |
Keyword(2) | fast search algorithm |
Keyword(3) | CPU time |
Keyword(4) | Euclidean distance |
Keyword(5) | tree structure |
Keyword(6) | Gabor features |
1st Author's Name | Shunji Uchimura |
1st Author's Affiliation | Faculty of Engineering, Yamaguchi University() |
2nd Author's Name | Kouji Katsumoto |
2nd Author's Affiliation | Faculty of Engineering, Yamaguchi University:Hitachi Information Network, Ltd. |
3rd Author's Name | Yoshihiko Hamamoto |
3rd Author's Affiliation | Faculty of Engineering, Yamaguchi University |
Date | 2000/2/21 |
Paper # | PRMU99-221 |
Volume (vol) | vol.99 |
Number (no) | 648 |
Page | pp.pp.- |
#Pages | 8 |
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