TY - GEN
T1 - Spoofing Attack Detection in Face Recognition System Using Vision Transformer with Patch-wise Data Augmentation
AU - Watanabe, Kota
AU - Ito, Koichi
AU - Aoki, Takafumi
N1 - Publisher Copyright:
© 2022 Asia-Pacific of Signal and Information Processing Association (APSIPA).
PY - 2022
Y1 - 2022
N2 - Spoofing attacks are a serious threat to face recognition systems by malicious third parties since face images can be easily collected from the Internet. In this paper, we propose a spoofing attack detection method using Vision Transformer (ViT), which extracts features based on patches to extract fine features in a face image. We also propose a patch-wise data augmentation to improve the detection accuracy of spoofing attacks. We demonstrate the effectiveness of the proposed method through accuracy evaluation experiments using public datasets.
AB - Spoofing attacks are a serious threat to face recognition systems by malicious third parties since face images can be easily collected from the Internet. In this paper, we propose a spoofing attack detection method using Vision Transformer (ViT), which extracts features based on patches to extract fine features in a face image. We also propose a patch-wise data augmentation to improve the detection accuracy of spoofing attacks. We demonstrate the effectiveness of the proposed method through accuracy evaluation experiments using public datasets.
UR - http://www.scopus.com/inward/record.url?scp=85146301754&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85146301754&partnerID=8YFLogxK
U2 - 10.23919/APSIPAASC55919.2022.9979996
DO - 10.23919/APSIPAASC55919.2022.9979996
M3 - Conference contribution
AN - SCOPUS:85146301754
T3 - Proceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
SP - 1561
EP - 1565
BT - Proceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
Y2 - 7 November 2022 through 10 November 2022
ER -