| Presentation | 2003/3/6 Handwritten Numeral Recognition Using Flexible Matching Based on Statistics of Character Variations and Shape of Contours Hirokazu MURAMATSU, Takashi KOBAYASHI, Takahiro SUGIYAMA, Keiichi ABE, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The purpose of this study is to develop a flexible matching method for recognizing handwritten numerals based on the statistics of stroke structures learned from learning samples and shape of character contours. First, this paper describes briefly a method of how to obtain a set of standard character patterns and the ranges of various variations statistically from the given learning samples. In the recognition phase, the matching method deforms each standard pattern flexibly to match with the input character, controlled by the orientations and convexity/concavity of contour points of the input character as well as the internal energy of the standard pattern. Then the standard pattern is dilated inside the input character until it coincides the input. Finally, matching is evaluated in terms of the strain of deformation and the cost of dilation to determine the category of the input character. In this paper we made recognition experiments on samples from two databases and showed that our scheme works well. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | character recognition / handwritten numeral recognition / elastic matching / stroke statistics |
| Paper # | PRMU2002-232 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2003/3/6(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| 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) | Handwritten Numeral Recognition Using Flexible Matching Based on Statistics of Character Variations and Shape of Contours |
| Sub Title (in English) | |
| Keyword(1) | character recognition |
| Keyword(2) | handwritten numeral recognition |
| Keyword(3) | elastic matching |
| Keyword(4) | stroke statistics |
| 1st Author's Name | Hirokazu MURAMATSU |
| 1st Author's Affiliation | Graduate School of Information, Shizuoka University() |
| 2nd Author's Name | Takashi KOBAYASHI |
| 2nd Author's Affiliation | Graduate School of Information, Shizuoka University |
| 3rd Author's Name | Takahiro SUGIYAMA |
| 3rd Author's Affiliation | Graduate School of Information, Shizuoka University |
| 4th Author's Name | Keiichi ABE |
| 4th Author's Affiliation | Graduate School of Information, Shizuoka University |
| Date | 2003/3/6 |
| Paper # | PRMU2002-232 |
| Volume (vol) | vol.102 |
| Number (no) | 707 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |