Presentation | 2003/3/7 Training Data Selection and Recognition Accuracy for Handwritten Characters using SVM Sanae SHINOHARA, Yuji WAIZUMI, Nei KATO, Yoshiaki NEMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we use SVM for investigating training data selection and recognition accuracy for handwritten characters. For the case of two-class pattern recognition, learning in SVM is formulated in Quadratic Programing as selecting classification boundary which maxxnizes a distance between two classes. Only training data lying near the classification boundary is used to decide the boundary. For such occasions it is difficult to classify test data, if data deviating from main training data cluster exist. In this paper, we propose a method for selecting and removing of data deviating from main distribution. We show an increase in recognition accuracy by experiment using the database ETL9B(similar charcters). |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Support Vector Machine / Unsupervised Support Vector Machine / handprinted character recognition / similar character / ETL9B |
Paper # | PRMU2002-256 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2003/3/7(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Training Data Selection and Recognition Accuracy for Handwritten Characters using SVM |
Sub Title (in English) | |
Keyword(1) | Support Vector Machine |
Keyword(2) | Unsupervised Support Vector Machine |
Keyword(3) | handprinted character recognition |
Keyword(4) | similar character |
Keyword(5) | ETL9B |
1st Author's Name | Sanae SHINOHARA |
1st Author's Affiliation | Graduate School of Information Sciences, TOHOKU University() |
2nd Author's Name | Yuji WAIZUMI |
2nd Author's Affiliation | Graduate School of Information Sciences, TOHOKU University |
3rd Author's Name | Nei KATO |
3rd Author's Affiliation | Graduate School of Information Sciences, TOHOKU University |
4th Author's Name | Yoshiaki NEMOTO |
4th Author's Affiliation | Graduate School of Information Sciences, TOHOKU University |
Date | 2003/3/7 |
Paper # | PRMU2002-256 |
Volume (vol) | vol.102 |
Number (no) | 708 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |