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Presentation 2022-10-03 14:30
A Study of Region-Based Iris Recognition Using Convolutional Neural Network
Shokei Kawakami, Hiroya Kawai, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Yoshiko Yasumura, Masakazu Fujio, Yosuke Kaga, Kenta Takahashi (Hitachi) BioX2022-57
Abstract (in Japanese) (See Japanese page) 
(in English) The iris, the ring-shaped area between the pupil and the sclera of the eye, has a unique pattern that can be used to identify individuals based on their iris patterns. To improve the performance of iris recognition using Convolutional Neural Network (CNN), we propose a region-based method using CNN. In the proposed method, the iris is divided into four regions, and features are extracted from each region using CNN. The proposed method improves the recognition performance by selecting training data for each region, calculating a weighted matching score considering the iris region, introducing data augmentation suitable for iris images, and introducing an attention mechanism. We demonstrate the effectiveness of the proposed method through performance evaluation experiments using the public datasets of iris images.
Keyword (in Japanese) (See Japanese page) 
(in English) iris recognition / biometrics / convolutional neural network / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 197, BioX2022-57, pp. 13-18, Oct. 2022.
Paper # BioX2022-57 
Date of Issue 2022-09-26 (BioX) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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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Conference Information
Committee BioX  
Conference Date 2022-10-03 - 2022-10-03 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To BioX 
Conference Code 2022-10-BioX 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Region-Based Iris Recognition Using Convolutional Neural Network 
Sub Title (in English)  
Keyword(1) iris recognition  
Keyword(2) biometrics  
Keyword(3) convolutional neural network  
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1st Author's Name Shokei Kawakami  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Hiroya Kawai  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Koichi Ito  
3rd Author's Affiliation Tohoku University (Tohoku Univ.)
4th Author's Name Takafumi Aoki  
4th Author's Affiliation Tohoku University (Tohoku Univ.)
5th Author's Name Yoshiko Yasumura  
5th Author's Affiliation Hitachi Ltd. (Hitachi)
6th Author's Name Masakazu Fujio  
6th Author's Affiliation Hitachi Ltd. (Hitachi)
7th Author's Name Yosuke Kaga  
7th Author's Affiliation Hitachi Ltd. (Hitachi)
8th Author's Name Kenta Takahashi  
8th Author's Affiliation Hitachi Ltd. (Hitachi)
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Speaker Author-1 
Date Time 2022-10-03 14:30:00 
Presentation Time 30 minutes 
Registration for BioX 
Paper # BioX2022-57 
Volume (vol) vol.122 
Number (no) no.197 
Page pp.13-18 
#Pages
Date of Issue 2022-09-26 (BioX) 


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