Presentation | 2005-12-15 A Weighted Voting Method for Combining Multiple Character Recognition Engines Shoichiro KANEKO, Hideaki GOTO, Hiroaki KOBAYASHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | It is known that combining multiple character recognition engines by majority logic is useful for improving the accuracy of character recognition. In the previous work, however, the suitability of each recognition engine for the input characters was not taken into account. On the other hand, several methods for automatic selection of recognition engines using the suitability of the engines have been proposed. We combine the above two approaches and propose a new method for combining multiple recognition engines. Experimental results show that the recognition accuracy improves from 97.8% to 98.2% using 14 Japanese character sets with 3195 characters each. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | character recognition / majority logic / multiple character recognition engines / confidence weight |
Paper # | PRMU2005-125 |
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Committee | PRMU |
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Conference Date | 2005/12/8(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) | A Weighted Voting Method for Combining Multiple Character Recognition Engines |
Sub Title (in English) | |
Keyword(1) | character recognition |
Keyword(2) | majority logic |
Keyword(3) | multiple character recognition engines |
Keyword(4) | confidence weight |
1st Author's Name | Shoichiro KANEKO |
1st Author's Affiliation | Graduate School of Information Sciences, Tohoku University() |
2nd Author's Name | Hideaki GOTO |
2nd Author's Affiliation | Information Synergy Center, Tohoku University |
3rd Author's Name | Hiroaki KOBAYASHI |
3rd Author's Affiliation | Information Synergy Center, Tohoku University |
Date | 2005-12-15 |
Paper # | PRMU2005-125 |
Volume (vol) | vol.105 |
Number (no) | 477 |
Page | pp.pp.- |
#Pages | 6 |
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