Abstract
Current research in biometrics aims to develop high-performance tools, which would make it possible to better extract the traits specific to each individual and to grasp their discriminating characteristics. This research is based on high-level analyses of images, captured from the candidate to identify, for a better understanding and interpretation of these signals. Several biometric identification systems exist. The recognition systems based on the iris have many advantages and they are among the most reliable. In this paper, we propose a new approach based on biometric iris authentication. A new scheme was made in this work that consists of calculating a three-dimensional head pose to capture a good iris image from a video sequence which affects the identification results. From this image, we were able to locate the iris and analyse its texture by intelligent use of Meyer wavelets. Our approach was evaluated and approved through two databases CASIA Iris Distance and MiraclHB. The comparative study showed its effectiveness compared to those in the literature.
Highlights
Computer-network security and access control to physical sites are becoming increasingly important to businesses and nations. is implies the need to verify the identity of individuals, and several methods are used to determine identities
A solution to this problem consists of taking into account physiological or behavioural elements that are unique and specific to each individual to ascertain their identity. ese are identification techniques based on biometrics and iris recognition in particular, which remains the most reliable in the biometrics field
A reliable iris recognition system requires obtaining a uniform model to describe any normalised iris in the database. is model should compensate for all kinds of geometric and colourimetric deformations that an iris can represent. ese distortions are often due to different acquisition conditions, the subject’s attitude, and the behaviour of the iris towards its environment
Summary
Computer-network security and access control to physical sites are becoming increasingly important to businesses and nations. is implies the need to verify the identity of individuals, and several methods are used to determine identities. Ese are identification techniques based on biometrics and iris recognition in particular, which remains the most reliable in the biometrics field. A system of iris recognition includes five steps: (i) iris acquisition; (ii) iris localisation; (iii) iris normalisation; (iv) feature extraction and encoding; and (v) matching for an acceptance or rejection decision. Iris localisation is a fundamental step for the good progress of the treatment that follows, namely, iris normalisation, information extraction, and signature comparison. Reliable and rapid determination of external and internal iris contours is key to successfully completing the identification steps. A reliable iris recognition system requires obtaining a uniform model to describe any normalised iris in the database. Valerian and Derrode [9] used a video-based iris recognition approach that made it possible to extract a pattern by combining the images of the iris detected in real time. In order to optimise this approach, the authors carry out a step of monitoring the pupil with the Kalman filter [11]
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