| Paper Abstract and Keywords |
| Presentation |
2024-10-31 13:00
ViT for Face Spoofing Attack Detection Mika Feng, Koichi Ito, Takafumi Aoki (Tohoku Univ.) BioX2024-72 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Face recognition has been widely used in person authentication systems since it is one of the most cost-effective and convenient biometrics. On the other hand, face recognition systems are designed to be robust against changes in facial pose, illumination, and blurring during image capture. There is a possibility that a malicious person can spoof a user by presenting a photo of the registered face. Therefore, it is necessary to detect such spoofing before face recognition is performed. Major spoofing attack detection methods using Vision Transformer (ViT) have been proposed to detect minute differences between a real face image and a spoofed face image. In this paper, we propose a loss function during training and a score calculation method during inference using the intermediate features of ViT to detect spoofing attacks with high accuracy. Through a set of experiments using public datasets, we demonstrate the effectiveness of the proposed method. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
biometrics / face recognition / anti-spoofing / deep learning / Vision Transformer / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 124, no. 226, BioX2024-72, pp. 1-6, Oct. 2024. |
| Paper # |
BioX2024-72 |
| Date of Issue |
2024-10-24 (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) |
| Download PDF |
BioX2024-72 |
| Conference Information |
| Committee |
BioX |
| Conference Date |
2024-10-31 - 2024-11-01 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Miraisozo Center (Miyako) |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
BioX |
| Conference Code |
2024-10-BioX |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
ViT for Face Spoofing Attack Detection |
| Sub Title (in English) |
|
| Keyword(1) |
biometrics |
| Keyword(2) |
face recognition |
| Keyword(3) |
anti-spoofing |
| Keyword(4) |
deep learning |
| Keyword(5) |
Vision Transformer |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Mika Feng |
| 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 |
2024-10-31 13:00:00 |
| Presentation Time |
20 minutes |
| Registration for |
BioX |
| Paper # |
BioX2024-72 |
| Volume (vol) |
vol.124 |
| Number (no) |
no.226 |
| Page |
pp.1-6 |
| #Pages |
6 |
| Date of Issue |
2024-10-24 (BioX) |