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| Presentation | 2013-01-24 10:40 A Study on Recognition Algorithm of Low Quality Handprinted Characters Using Feature Selection Method Based on the Criterion of Skewness Maximization Masato Suzuki, Daisuke Kitakoshi (TNCT), Akiyo Matsumoto (Tohoku Gakuin Univ.)  PRMU2012-110 MVE2012-75 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Mahalanobis distance is a quadratic descriminant function which can reognize handprinted characters in high accuracy by approximating the destribution of each principal component with normal distribution. In recognition of a low quality character, however, such approximation is difficult. In this paper, we improve the recognition accuracy by extracting some components with large skewness from principal components of middle class and applying the asymmetric partial normal distribution. We experimented in character recognition for 1052 types of letters of a hiragana and an educational chinese character. As a result, it is found that a recognition accuracy is improved about 10 points, and that our proposed method is useful for recognization of low quality handprinted characters. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Skewness component analysis / asymmetric partial normal distribution / Mahalanobis distance / handprinted chinese character recognition / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 112, no. 385, PRMU2012-110, pp. 251-256, Jan. 2013. | |
| Paper # | PRMU2012-110 | |
| Date of Issue | 2013-01-16 (PRMU, MVE) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | PRMU2012-110 MVE2012-75 |
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| Conference Information | |
| Committee | PRMU MVE IPSJ-CVIM |
| Conference Date | 2013-01-23 - 2013-01-24 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | PRMU |
| Conference Code | 2013-01-PRMU-MVE-CVIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Recognition Algorithm of Low Quality Handprinted Characters Using Feature Selection Method Based on the Criterion of Skewness Maximization |
| Sub Title (in English) | |
| Keyword(1) | Skewness component analysis |
| Keyword(2) | asymmetric partial normal distribution |
| Keyword(3) | Mahalanobis distance |
| Keyword(4) | handprinted chinese character recognition |
| Keyword(5) | |
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| Keyword(8) | |
| 1st Author's Name | Masato Suzuki |
| 1st Author's Affiliation | Tokyo National College of Technology (TNCT) |
| 2nd Author's Name | Daisuke Kitakoshi |
| 2nd Author's Affiliation | Tokyo National College of Technology (TNCT) |
| 3rd Author's Name | Akiyo Matsumoto |
| 3rd Author's Affiliation | Tohoku Gakuin University (Tohoku Gakuin Univ.) |
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| Speaker | Author-1 |
| Date Time | 2013-01-24 10:40:00 |
| Presentation Time | 30 minutes |
| Registration for | PRMU |
| Paper # | PRMU2012-110, MVE2012-75 |
| Volume (vol) | vol.112 |
| Number (no) | no.385(PRMU), no.386(MVE) |
| Page | pp.251-256 |
| #Pages | 6 |
| Date of Issue | 2013-01-16 (PRMU, MVE) |
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