Presentation | 2013-12-12 Character Recognition using Statistical Evaluation of Surrounding Information Naoki UCHIDA, Yuji WAIZUMI, Kazuyuki TANAKA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Scene text recognition methods often consist of text extraction step and recognition step. Recognition accuracy of this two step approach can degrade due to the cumulated errors in the two steps. In this report, we propose a scene text recognition method which evaluates shapes of regions in a scene image and relative locations among them simultaneously, can recognize texts without text extraction process. The proposed method evaluates the distributions of two features for shapes and relative locations with Gaussian distributions, and recognize texts in an image using a score based on likelihood density. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Text Recognition / Statistical Evaluation / Positional Relation between Characters / Gaussian Distribution |
Paper # | PRMU2013-70 |
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Committee | PRMU |
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Conference Date | 2013/12/5(1days) |
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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 Statistical Evaluation of Surrounding Information |
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Keyword(1) | Text Recognition |
Keyword(2) | Statistical Evaluation |
Keyword(3) | Positional Relation between Characters |
Keyword(4) | Gaussian Distribution |
1st Author's Name | Naoki UCHIDA |
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 | Kazuyuki TANAKA |
3rd Author's Affiliation | Graduate School of Information Sciences, Tohoku University |
Date | 2013-12-12 |
Paper # | PRMU2013-70 |
Volume (vol) | vol.113 |
Number (no) | 346 |
Page | pp.pp.- |
#Pages | 6 |
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