Efficient Biometric Iris Recognition Based on Iris Localization Approach

Abstract

Biometric recognition is an emerging technology that has attracted more attention in recent years. This issue uses physiological and behavioral characteristics to identify an individual. The iris recognition approaches are among the most accurate biometric technologies with immense potential for use in global security applications. The purpose of this research is to implement an efficient approach to treat the diseased eye images in order to verify the second iris examination for the same person by inserting an improvement step to the iris recognition system. This step makes a correction of boundary around pupil and removes fraction regions. This approach demonstrates its ability to detect the inner limit of the iris. The obtained results shows that 90% success in the detection diseased eye images, which makes the iris recognition system more accurate and safe.

New Feature-level Algorithm for a Face-fingerprint Integral Multi-biometrics Identification System

“…Biometric security can be achieved through two kinds of categories: uni-model and multi-model [3]. Online list of biometric characteristics (active or passive) is used as a feature in the uni-model, this model has a low-security level against the multi-model which uses two or more of those characteristics that achieve a higher security level.…”