| Paper Abstract and Keywords |
| Presentation |
2016-03-11 11:00
A Feasibility Study of Scene Text Recognition Based on Filtered Channel Features Rui Kasuya, Takuro Oki, Ryusuke Miyamoto (Meiji Univ.) SIS2015-65 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Scene Text Recognition is one of the most challenging task in the field of the image recognition, recently.
Several kinds of window-based schemes have tried to improve the recognition accuracy but it is difficult to improve
the recognition accuracy without increasing processing cost when a multi-class classifier is used for this task. Con-
sidering this problem, the authors have proposed a novel approach that consists of two kinds of opearations: text
localization and text recognition. In the proposed approach, text regions are detected by a two-class classifier, and then, a multi-class classifier is applied to determined what characters are included in the detected regions. However, a multi-class classifier requried for our approach has not been constructed yet. Therefore, this paper aims to construct a multi-class classifier suitable for the proposed approach by applying the Filtered Channel Features for the training process of a multi-class classifier. Experimental results using the ICDAR2013 dataset and synthesized images created by the authors show that the precision becomes high but the recall are not improved drastically. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
scene text recognition / Filtered Channel Features / multi-class classification / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 115, no. 505, SIS2015-65, pp. 99-104, March 2016. |
| Paper # |
SIS2015-65 |
| Date of Issue |
2016-03-03 (SIS) |
| 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 |
SIS2015-65 |
| Conference Information |
| Committee |
SIS |
| Conference Date |
2016-03-10 - 2016-03-11 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Tokyo City Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Soft computing, etc. |
| Paper Information |
| Registration To |
SIS |
| Conference Code |
2016-03-SIS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
A Feasibility Study of Scene Text Recognition Based on Filtered Channel Features |
| Sub Title (in English) |
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| Keyword(1) |
scene text recognition |
| Keyword(2) |
Filtered Channel Features |
| Keyword(3) |
multi-class classification |
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| 1st Author's Name |
Rui Kasuya |
| 1st Author's Affiliation |
Meiji University (Meiji Univ.) |
| 2nd Author's Name |
Takuro Oki |
| 2nd Author's Affiliation |
Meiji University (Meiji Univ.) |
| 3rd Author's Name |
Ryusuke Miyamoto |
| 3rd Author's Affiliation |
Meiji University (Meiji Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2016-03-11 11:00:00 |
| Presentation Time |
20 minutes |
| Registration for |
SIS |
| Paper # |
SIS2015-65 |
| Volume (vol) |
vol.115 |
| Number (no) |
no.505 |
| Page |
pp.99-104 |
| #Pages |
6 |
| Date of Issue |
2016-03-03 (SIS) |