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Paper Abstract and Keywords
Presentation 2022-10-03 13:30
Performance Improvement of CNN-Based Fingerprint Recognition Using Multiple Attention Mechanism
Nagisa Sasuga, Koichi Ito, Takafumi Aoki (Tohoku Univ.) BioX2022-55
Abstract (in Japanese) (See Japanese page) 
(in English) Fingerprint recognition methods that extract multiple features from a fingerprint image using a Convolutional Neural Network (CNN) have been proposed. While this method can achieve high accuracy with a small number of training data, there is the problem that the network structure becomes complex and the size of the network becomes large. In this paper, we investigate a method to improve the accuracy of fingerprint recognition without increasing the network size by introducing multiple attentional mechanisms into the CNN. We demonstrate the effectiveness of the proposed method through performance evaluation experiments using public datasets.
Keyword (in Japanese) (See Japanese page) 
(in English) biometrics / fingerprint recognition / convolutional neural network / attention mechanism / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 197, BioX2022-55, pp. 1-6, Oct. 2022.
Paper # BioX2022-55 
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) 
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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) Performance Improvement of CNN-Based Fingerprint Recognition Using Multiple Attention Mechanism 
Sub Title (in English)  
Keyword(1) biometrics  
Keyword(2) fingerprint recognition  
Keyword(3) convolutional neural network  
Keyword(4) attention mechanism  
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1st Author's Name Nagisa Sasuga  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Koichi Ito  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Takafumi Aoki  
3rd Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2022-10-03 13:30:00 
Presentation Time 30 minutes 
Registration for BioX 
Paper # BioX2022-55 
Volume (vol) vol.122 
Number (no) no.197 
Page pp.1-6 
#Pages
Date of Issue 2022-09-26 (BioX) 


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