Biometric methods, which identify people based on physical or behavioural characteristics, are of interest because people cannot forget or lose their physical characteristics in the way that they can lose passwords or identity cards. Among these biometric methods, iris is currently considered as one of the most reliable biometrics because of its unique texture‘s random variation. Moreover, iris...

The demand for an accurate biometric system that provides reliable identification and verification of an individual has increased over the years. A biometric system that provides reliable and accurate identification of an individual is an iris recognition system. In which paper describes the segmentation and the normalization processing for biometric iris recognition system, implemented and val...

With the development of the current networked society, personal identification based on biometrics has received more and more attention. Iris recognition has a satisfying performance due to its high reliability and non-invasion. In an iris recognition system, preprocessing, especially iris localization plays a very important role. The speed and performance of an iris recognition system is cruci...

Jong-Gook Ko et al. 399 ABSTRACT⎯With a growing emphasis on human identification, iris recognition has recently received increasing attention. Iris recognition includes eye imaging, iris segmentation, verification, and so on. In this letter, we propose a novel and efficient iris recognition method which employs a cumulative-sum-based grey change analysis. Experimental results demonstrate that t...

Iris recognition is one of the most reliable and accurate biometric technologies, as the richness and apparent stability of the iris texture make it robust. Iris segmentation is a critical part in iris recognition, because it defines the inner and outer boundaries of iris region which is used for feature analysis. Active contour model, also known as snake, is a powerful image segmentation techn...

Iris recognition, a biometric technique used in high profile applications such as border crossing systems, single factor identity verification for the ATM users, India’s Aadhaar project, Airport security. Its robustness and unobtrusiveness make it superior entrant to reinstate most of the security system around. Iris recognition is listed as a high confidence biometric identification system as ...

Iris recognition is regarded as the most reliable and accurate biometric identification system. Most commercial iris recognition systems use patented algorithms developed by Daugman and these algorithms are able to produce perfect recognition rates. These algorithms are based on linear search methods which make the identification process extremely slow and also raise the false acceptance rate b...

Iris recognition is an invasive biometric technique used to identify human being. Iris is defined as annular region between pupil and sclera of human eye which exhibits extraordinary texture that is unique for each individual. Hence, imposes various challenges in accurate iris segmentation and feature extraction techniques to provide many opportunities for researchers in pursuing their research...

0167-8655/$ see front matter 2011 Elsevier B.V. A doi:10.1016/j.patrec.2011.08.014 ⇑ Corresponding author. Tel.: +86 024 83671318. E-mail address: [email protected] (X. Z In this paper, we present a noisy iris recognition frame which is learned by Adaboost on a 2D Gabor-based feature set. First, the irises are segmented and normalized by rubber sheet or simplified rubber sheet according ...