Paper Abstract and Keywords |
Presentation |
2018-02-16 11:30
A Study of Handwritten Chinese Character Recognition Method Based on Feature Points Extraction Using Small Scale Space Masato Suzuki, Daisuke Kitakoshi (Tokyo Kosen) ITS2017-83 IE2017-115 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recognition method using local feature extraction is one of the famous strategies to general object recognition. By considering the handwritten chinese characters in the picture as objects, it is possible to apply this algorithm to them. But in character recognition, it is difficult to extract an appropriate local features due to the variety of character shapes. In this report, in order to recognize the handwritten chinese characters in such a framework, we set an upper limit on the scale space for extracting characteristic feature points, and try to extract structure informations of the characters according to the feature extraction form small scale space. And we also suggest a matching method by dynamically changing the scale of characteristic feature points. In recognition experiments, it is found that we can extract the structure informations from about 80% of characters, and improve the recognition accuracy in comparison with the traditional algorithm regardless of the kind of the reference character pictures. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Local Feature / Extraction of Character Structure / Small Scale Space / Handwritten Chinese Character Recognition / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 117, no. 432, IE2017-115, pp. 257-260, Feb. 2018. |
Paper # |
IE2017-115 |
Date of Issue |
2018-02-08 (ITS, IE) |
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) |
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ITS2017-83 IE2017-115 |
Conference Information |
Committee |
ITS IE ITE-MMS ITE-HI ITE-ME ITE-AIT |
Conference Date |
2018-02-15 - 2018-02-16 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Hokkaido Univ. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Image Processing, etc. |
Paper Information |
Registration To |
IE |
Conference Code |
2018-02-ITS-IE-MMS-HI-ME-AIT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study of Handwritten Chinese Character Recognition Method Based on Feature Points Extraction Using Small Scale Space |
Sub Title (in English) |
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Keyword(1) |
Local Feature |
Keyword(2) |
Extraction of Character Structure |
Keyword(3) |
Small Scale Space |
Keyword(4) |
Handwritten Chinese Character Recognition |
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1st Author's Name |
Masato Suzuki |
1st Author's Affiliation |
National Institute of Technology, Tokyo College (Tokyo Kosen) |
2nd Author's Name |
Daisuke Kitakoshi |
2nd Author's Affiliation |
National Institute of Technology, Tokyo College (Tokyo Kosen) |
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Speaker |
Author-1 |
Date Time |
2018-02-16 11:30:00 |
Presentation Time |
15 minutes |
Registration for |
IE |
Paper # |
ITS2017-83, IE2017-115 |
Volume (vol) |
vol.117 |
Number (no) |
no.431(ITS), no.432(IE) |
Page |
pp.257-260 |
#Pages |
4 |
Date of Issue |
2018-02-08 (ITS, IE) |
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