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 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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BioX2022-55 |
Conference Information |
Committee |
BioX |
Conference Date |
2022-10-03 - 2022-10-03 |
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(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) |
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(See Japanese page) |
Title (in English) |
Performance Improvement of CNN-Based Fingerprint Recognition Using Multiple Attention Mechanism |
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biometrics |
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fingerprint recognition |
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convolutional neural network |
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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 |
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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 |
6 |
Date of Issue |
2022-09-26 (BioX) |
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