MoSFPAD: An end-to-end ensemble of MobileNet and Support Vector Classifier for fingerprint presentation attack detection

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Anuj Rai, Somnath Dey, Pradeep Patidar, Prakhar Rai

Published: 01 Jan 2025, Last Modified: 06 Nov 2025Comput. Secur. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A method to safeguard Automatic Fingerprint Recognition System (AFRS) against Presentation Attacks (PAs).•It presents an end-to-end ensemble of MobileNet and SVC which efficiently utilizes the characteristics of CNN and SVC.•The proposed method performs better than state-of-the-art methods in various benchmark protocols.•The proposed model takes a minimal amount of time for the classification of a fingerprint sample.