A security system based on human iris identification using wavelet transform

Abstract

A security system based on the recognition of the iris of human eyes using the wavelet transform is presented. The zero crossings of the wavelet transform are used to extract the unique features obtained from the grey level profiles of the iris. The recognition process is performed in two stages. The first stage consists of building a one dimensional representation of the grey level profiles of the iris followed by obtaining the wavelet transform zero crossings of the resulting representation. The second stage is the matching procedure for iris recognition. The proposed approach uses only a few selected intermediate resolution levels for matching, thus making it computationally efficient as well as less sensitive to noise and quantisation errors. A normalisation process is implemented to compensate for size variations due to the possible changes in the camera to face distance. The technique has been tested on real images in both noise free and noisy conditions. The technique is being investigated for real time implementation, as a standalone system, for access control to high security areas.