Open AccessBiometric iris templates security based on secret image sharing and chaotic maps
Author(s) -
Marwa Fadhel Jassim,
Wafaa mohammed Saeed Hamzah,
Abeer Fadhil Shimal
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v12i1.pp339-348
Subject(s) - computer science , biometrics , authentication (law) , image sharing , iris recognition , image (mathematics) , computer security , information hiding , host (biology) , artificial intelligence , identity (music) , vulnerability (computing) , segmentation , identity theft , template , computer vision , data sharing , medicine , ecology , physics , alternative medicine , pathology , acoustics , biology , programming language
Biometric technique includes of uniquely identifying person based on their physical or behavioural characteristics. It is mainly used for authentication. Storing the template in the database is not a safe approach, because it can be stolen or be tampered with. Due to its importance the template needs to be protected. To treat this safety issue, the suggested system employed a method for securely storing the iris template in the database which is a merging approach for secret image sharing and hiding to enhance security and protect the privacy by decomposing the template into two independent host (public) iris images. The original template can be reconstructed only when both host images are available. Either host image does not expose the identity of the original biometric image. The security and privacy in biometrics-based authentication system is augmented by storing the data in the form of shadows at separated places instead of whole data at one. The proposed biometric recognition system includes iris segmentation algorithms, feature extraction algorithms, a (2, 2) secret sharing and hiding. The experimental results are conducted on standard colour UBIRIS v1 data set. The results indicate that the biometric template protection methods are capable of offering a solution for vulnerability that threatens the biometric template.