Fake Fingerprint Classification Using Hybrid Features Learning With Gradient Boosting

Biometric security systems must be able to detect phony fingerprints to provide reliable authentication. The findings of this study suggest a hybrid approach to the detection of fake fingerprints that uses information on the texture and shape of the fingerprint. The novelty of this approach lies in...

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Bibliographic Details
Published in:	Applied Computational Intelligence and Soft Computing Vol. 2025; no. 1
Main Authors:	Ali, Muhammad Salman, Akram, Arslan, Rashid, Javed, Jaffar, Muhammad Arfan, Shah, Dilawar, Ali, Shujaat, Tahir, Muhammad
Format:	Journal Article
Language:	English
Published:	New York John Wiley & Sons, Inc 01.01.2025 Wiley
Subjects:	Access control Accuracy Biometric identification Biometrics Biometry Classification Cooperation Deep learning Fingerprints Identification systems Information systems Literature reviews Safety and security measures Security systems Spoofing Wavelet transforms Taiwan
ISSN:	1687-9724, 1687-9732
Online Access:	Get full text
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