High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

A Study on: Iris Recognition Techniques




Local Binary Pattern (LBP), Equal Error Rate (EER)


the randomness of the iris pattern makes it one of the most trustful biometric traits. The recognition of biometrics means to an automatic recognition of individuals based on a feature vector derived from the physiological and/ or behavioral characteristic. The iris recognition is one of the biometrics technologies based on the physiological characteristics of individual, compared with the trait recognition based on the fingerprint, palm-print etc., the certain advantages of iris are such as individuality, permanence, high detection rate, and non-infringing etc. Iris recognition is one of an automatic method for identifying persons that uses geometric model detection techniques on images of the iris in individual person’s eyes. The performance of the iris recognition systems depends on normalization and segmentation techniques. Here, it is discussing about the various technique like daugman’s algorithm technique, Multiscale edge detection, Zero-Crosssing representation method and LBP technique.

Other Details

Paper ID: IJSRDV4I120191
Published in: Volume : 4, Issue : 12
Publication Date: 01/03/2017
Page(s): 225-227

Article Preview

Download Article