Volume 1, Issue 2 July-August 2012 Page 271 Abstract: Iris based biometric personal identification and Verification methods have gained much interest with an increasing emphasis on security. The proposed approach comprises of acquisition of Iris images, Iris Localization, Normalization and Quality Enhancement. Algorithms like Circular Hough transform, Canny Edge Detection, Gabor filters, Homoge...

Automated personal identification based on biometrics has been receiving extensive attention over the past decade. Iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications and is regarded as the most reliable and accurate biometric identification system available. Common problems include variations in lighting, ...

Abstract. We present a new approach for iris recognition based on stochastic autoregressive models with exogenous input (ARX). Iris recognition is a method to identify persons, based on the analysis of the eye iris. A typical iris recognition system is composed of four phases: image acquisition and preprocessing, iris localization and extraction, iris features characterization, and comparison a...

Robust segmentation of an iris image plays an important role in iris recognition. However, the nonlinear deformations, pupil dilations, head rotations, motion blurs, reflections, nonuniform intensities, low image contrast, camera angles and diffusions, and presence of eyelids and eyelashes often hamper the conventional iris/pupil localization methods,whichutilize the region-basedor the gradient...

Biometric methods designed for the identification of individuals are nowadays increasingly being used in the routine tasks like medical check-up, security etc. These powerful techniques are slowly replacing the less secure ID or password methods for user authentication. Iris recognition is especially attractive due to the high degree of entropy per unit area of the iris, as well as the stabilit...

Humans have distinctive and unique traits which can be used to distinguish them from other humans, acting as a form of identification. A number of traits characterising physiological or behavioral characteristics of human can be used for biometric identification. Basic physiological characteristics are face, facial thermograms, fingerprint, iris, retina, hand geometry, odour/scent. Voice, signa...

Human iris provides a unique structure suitable for non-invasive biometric assessment. In particular the irises are as distinct as fingerprints even for twins. In this paper a system for person identification is presented that uses a technique of localization, alignment, feature extraction, matching the features of irises and finally the decision regarding the degree of match based on hamming d...