A fuzzy vault development based on iris images

Keywords: Authentication, Biometrics, Fuzzy vault, Iris, Template protection, GLCM, CASIA v1, ITTD v1, FAR, FRR

Abstract

Biometric systems gather information from the person's biometric attributes, used extensively to authorize the individuals. Due to the obvious convenience of using specific individual traits such as face, fingerprints, palm veins, and irises, biometric authentication is becoming more common. In particular, Iris systems are in high demand for high-assurance applications, because they contain a broad feature set and remain stable. Authentication methods based on iris biometrics are now commonly used in a variety of fields. This is due to the fact that iris biometric authentication is both safer and more comfortable than conventional passwords. Template Security is a major concern in biometric systems. The template security mechanism ensures reusable, permanent, and un-linkable models. The Fuzzy Vault strategy is one of the most popular security schemes for Template protection.

Fuzzy vault has demonstrated to be an effective protection method but lacks revocability and security attacks. This article introduced an improved fuzzy vault system. The improved fuzzy vault system was introduced, which uses more than one key to protect biometric data. Different keys make the search space more detailed. The additional key was used to encrypt vault data, which stopped the intruder from accessing the information on the person's biometry. The system was tested using CASIA.v1 and IITD.v1 datasets, and findings showed that the system ensures the protection and authentication of the iris templates without compromising performance. The proposed modification gave a 0.0 % False Accepted Rate (FAR) for both the dataset and False Rejected Rate (FRR), 0.14 % for CASIA v1 and 0.12 % for ITTD v1 False Rejected rate

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Author Biographies

Mohammed A. Taha, University of Technology

Department of Computer Sciences

Hanaa M. Ahmed, University of Technology

Department of Computer Sciences

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Published
2021-09-13
How to Cite
Taha, M. A., & Ahmed, H. M. (2021). A fuzzy vault development based on iris images. EUREKA: Physics and Engineering, (5), 3-12. https://doi.org/10.21303/2461-4262.2021.001997
Section
Computer Science