An effective authentication scheme for a secured IRIS recognition system based on a novel encoding technique. (February 2023)

• Record Type: Journal Article
• Authors: Harikrishnan, D.; Sunilkumar, N.; Shelby, Joseph; Kishor, Nair; Remya, Gopalakrishnan
• Is Part Of: Measurement. Volume 25(2023)
• Publication Date: 2023-02
• Subjects: Iris recognition -- Security -- Histogram processing -- Decoding -- Biometric system; Detectors -- Periodicals; Measurement -- Periodicals; 530.7
• DOI: 10.1016/j.measen.2022.100626
• Languages: English
• ISSNs: 2665-9174

Abstract

Abstract: Iris recognition systems are well known for their accuracy than any other biometric system and very popular due to the permanent nature of the iris image. Moreover, it is easy to acquire the iris image even from a very long distance without causing much degradation to the image. In terms of the security perspective, very few biometric systems comprehensively address the vulnerabilities occurring as a result of security attacks. Among the security vulnerabilities, the possibility of compromise of Iris Code during the exchange of Iris information between client and server is a serious threat. In this work, an innovative model which generates a One Time Iris Code (OTIC) for every user authentication is proposed with the help of a novel encoding scheme. In the proposed model, the Iris Code generated distorted using pseudo-random number generator, timestamp, and rotation parameter and it will be different for each authentication session. The proposed technique will also reduce the possibility of compromising the original Iris Code. This will eventually enhance the security of the Iris recognition system. Moreover, the proposed method has less time complexity and high execution speed than the conventional Iris recognition systems. The accuracy of this model is comparable with the existing systems. Various performance analysis methods such as histogram processing for showing the pixel intensity of iris images, and calculation of EER based on entropy measurement for evaluating the severity of attacks using Base Score calculation have been implemented in this work.