IRIS RECOGNITION SYSTEM USING BIOMETRIC STATISTICAL FEATURES FOR IDENTIFICATION

Abstract

Iris recognition is a proven, accurate means to identify people. In this paper, it includes the preprocessing system, segmentation, feature extraction and recognition. Especially it focuses on image segmentation and statistical feature extraction for iris recognition process. The performance of iris recognition system highly depends on segmentation. For instance, even an effective feature extraction method would not be able to obtain useful information from an iris image that is not segmented properly. This paper presents a straight forward approach for segmenting the iris patterns. The used method determines an automated global threshold and the pupil center. Experiments are performed using iris images obtained from CASIA database. Institute of Automation, Chinese Academy of Sciences) and Mat lab application for its easy and efficient tools in image manipulation.