vi Acknowledgements iii

A biometric system based on the iris recognition is especially an attractive approach for user identification. Implementation of the iris recognition algorithm on FPGA (field programmable gate array) achieving significant reduction in execution time when compared with software implementation. This paper takes a review on selected methods on research of different methods used for Hardware implem...

This work presents a novel dual-spectrum database containing both iris and periocular images synchronously captured from a distance and within a realistic indoor environment. This database was used in the 1 Cross-Spectrum Iris/Periocular Recognition Competition (Cross-Eyed 2016). This competition aimed at recording recent advances in cross-spectrum iris and periocular recognition. Six submissio...

In this contribution, the vulnerabilities of iris-based recognition systems to direct attacks are studied. A database of fake iris images has been created from real iris of the BioSec baseline database. Iris images are printed using a commercial printer and then, presented at the iris sensor. We use for our experiments a publicly available iris recognition system, which some modifications to im...

With compare to biometric features, iris recognition has high recognition accuracy. This paper proposed different methods for iris recognition in which condition is partial eye closed or an eye is blinked. All the steps are explained in detail to achieve highest accuracy rate in the recognition system. Most of the iris recognition systems are incapable of providing low false rejection due to wi...

In biometric authentication, iris recognition was shown to be one of the most accurate techniques. In unconstrained environment and capture conditions (e.g. with hand-held devices used outdoors), the iris image may be contaminated by noise and distortions which makes the iris segmentation and recognition process difficult. This paper presents a novel iris segmentation algorithm that addresses s...

:Iris recognition becomes one of the most accurate and secures biometric method used today. The execution time of the iris recognition algorithm on general purpose sequential system as central processing unit is too high, so it cannot work in the real time applications. In this paper, an enhancement for the iris recognition system was applied for each processing part to speed up the execution t...

Iris recognition has become a popular research in recent years due to its reliability and nearly perfect recognition rates. Iris recognition system has three main stages: image preprocessing, feature extraction and template matching. In the preprocessing stage, iris segmentation is critical to the success of subsequent feature extraction and template matching stages. If the iris region is not c...

A recent emphasis on security has resulted in increased research attention being offered to the field of individual identification based on “biometrics”. A biometric feature is an inherent physical or behavioural trait that is unique among individuals. Easily acquired biometric features include fingerprints, gait, facial features, and voice. In addition to these, the human iris can also be cons...

This paper explores the possibility of using multispectral iris information to enhance the recognition performance of an iris biometric system. Commercial iris recognition systems typically sense the iridal reflection pertaining to the near-infrared (IR) range of the electromagnetic spectrum. This work examines the iris information represented in the visible and IR portion of the spectrum. It i...