Effect of Wavelet-transformed Iris Image Translation and Rotation on its Recognition Rate (An Experimental Approach using Haar Wavelet)

Abstract

Iris can be used as a basic of biometrics system. Iris texture is unique for any person, it has a stable pattern of texture for along one’s life, even for right or left-side of irises are different for everyone. Analysis for identification is based on this texture feature. Research objectives is to measure the effect of Wavelet-transformed iris image translation and rotation on its recognition rate. Circular Hough Transform is quite good in determining objects and to separate the circular iris from pupil and sclera, thus determining the object an be conducted accurately even though the translation process is carried out varying the input image. Iris characteristics generally have a uniform texture, so the recognition can be partially done with the proper results. Therefore, the image that is rotated with angle variations from 0o up to 359o can also still be recognized correctly