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Highly secure palmprint based biometric template using fuzzy vault
Author(s) -
Sujitha V.,
Chitra D.
Publication year - 2018
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.4513
Subject(s) - biometrics , computer science , cryptosystem , robustness (evolution) , artificial intelligence , pattern recognition (psychology) , feature extraction , computer vision , cryptography , fuzzy logic , data mining , algorithm , biochemistry , chemistry , gene
Summary Biometric cryptosystem is an integrated system of cryptography with biometric features which is considered to be a promising component of template security. This paper presents a novel method for biometric cryptosystem based on fuzzy vault using palmprint features. Initially, pre‐processing is performed to remove noise in palmprint enrolled image and to pre‐align image automatically. Bottom‐hat filtering is employed for the feature extraction from the palmprint images. A polynomial is evaluated from the secret key and this polynomial is used to generate projections from palmprint features. Fuzzy vault is created by combining projected points with randomly generated dummy or chaff points. During decoding process, matching scores are calculated by comparing the query feature and stored vault. The vault is successfully decoded when the matched scores should be greater than a predefined threshold value. Experiments were conducted on CASIA database. Simulation result demonstrates that the proposed method gives better performance than other methods and improves the robustness against some security attacks.