A Wavelet-Based Memory Autoencoder for Noncontact Fingerprint Presentation Attack Detection

Fingerprint presentation attack detection (FPAD) is essential in fingerprint identification systems. Noncontact methods such as fingerprint biometrics are becoming popular because they are not affected by skin conditions and there are no hygiene issues. However, most of the existing noncontact FPAD...

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Vydané v:	IEEE transactions on information forensics and security Ročník 19; s. 8717 - 8730
Hlavní autori:	Liu, Yi-Peng, Yu, Hangtao, Fang, Haonan, Li, Zhanqing, Chen, Peng, Liang, Ronghua
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 2024
Predmet:	anomaly detection autoencoder Biological system modeling biometrics Feature extraction Fingerprint recognition frequency Frequency-domain analysis Image matching Image reconstruction memory Memory modules noncontact fingerprint Presentation attack detection wavelet
ISSN:	1556-6013, 1556-6021
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