Open AccessShift, rotation and scale invariant optical fingerprint verification system with double random phase encoding
Author(s) -
Zhuo Shengkai,
Jiao Shuming,
Zou Wenbin,
Wang Na,
Li Xia
Publication year - 2020
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.1142
Subject(s) - computer science , fingerprint (computing) , biometrics , robustness (evolution) , artificial intelligence , computer vision , rotation (mathematics) , fingerprint recognition , encoding (memory) , pattern recognition (psychology) , invariant (physics) , mathematics , biochemistry , chemistry , mathematical physics , gene
Biometric features such as fingerprint images can be authenticated by not only computer algorithms but also optical systems. In previous works, double random phase encoding (DRPE) optical lens system is employed for fingerprint verification. However, such a system can yield authentication failure when the key is generated from a slightly distorted fingerprint image. In this work, a fingerprint image pre‐processing scheme for DRPE fingerprint optical authentication system is proposed. Simulated experimental results demonstrate the proposed method has significantly better robustness to shift, rotation and scale variance than some of the conventional DRPE‐based approaches.