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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Bibliographic Details

Published in:	IEEE transactions on information forensics and security Vol. 19; pp. 8717 - 8730
Main Authors:	Liu, Yi-Peng, Yu, Hangtao, Fang, Haonan, Li, Zhanqing, Chen, Peng, Liang, Ronghua
Format:	Journal Article
Language:	English
Published:	IEEE 2024
Subjects:	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
Online Access:	Get full text
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