Fingerphoto morphing attack generation using texture descriptors based landmarks.

ABSTRACT: Smartphone-based biometric authentication has been widely used in various applications. Among several biometric characteristics, fingerphoto biometrics captured from smartphones are gaining popularity owing to their usability, scalability across different smartphones, and reliable verification. However, fingerphoto verification systems are vulnerable to both direct and indirect attacks. In this work, we propose a novel method to generate morphing attacks on fingerphoto biometrics captured using smartphones. We introduce three different image-level fingerphoto morphing attack generation algorithms that can generate high-quality fingerphoto morphing images with minimum distortions. Extensive experiments were conducted on two datasets captured using different smartphones under various environ

SUBMITTER: Li H 

PROVIDER: S-EPMC11246451 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature