Presentation | 1997/12/19 Character Recognition using Automatic Template Selection based on Estimating Degradation Minako Sawaki, Hiroshi Murase, Norihiro Hagita, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes a method for recognizing low-quality characters in scene images captured by a digital camera and so on. Characters degraded by different illumination conditions and intensity variation are hardly recognized when a single template set obtained from neat learning samples is used as reference patterns. To cope with the problem on the intensity variation, this paper uses several template sets, each of which corresponds to several levels in binarization. A relevant binarization level for input characters is estimated from a table which is trained in advance. Experiments with 441 characters in 12 images show that this method achieves a recognition rate of 82.8%, higher than 76.4% of a single template set. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | character recognition / template selection |
Paper # | PRMU97-187 |
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Committee | PRMU |
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Conference Date | 1997/12/19(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) | Character Recognition using Automatic Template Selection based on Estimating Degradation |
Sub Title (in English) | |
Keyword(1) | character recognition |
Keyword(2) | template selection |
1st Author's Name | Minako Sawaki |
1st Author's Affiliation | NTT Basic Research Laboratories() |
2nd Author's Name | Hiroshi Murase |
2nd Author's Affiliation | NTT Basic Research Laboratories |
3rd Author's Name | Norihiro Hagita |
3rd Author's Affiliation | NTT Communication Science Laboratories |
Date | 1997/12/19 |
Paper # | PRMU97-187 |
Volume (vol) | vol.97 |
Number (no) | 459 |
Page | pp.pp.- |
#Pages | 8 |
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