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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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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
Date of Issue 2024-10-24 (BioX) 


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