Personal Identification with Human Iris Recognition based on Wavelet Transform

This paper presents a biometric recognition system based on the iris of a human eye using wavelet transform. The proposed system includes three modules: image preprocessing, feature extraction, and recognition modules. The feature extraction module adopts the gradient directions (i.e., angles) on wavelet transform as the discriminating texture features. The identification system encodes the features to generate the iris codes using two simple and efficient coding techniques: binary Gray encoding and delta modulation. The experimental results show that the recognition rates up to 95.27%, 95.62%, 96.21%, and 99.05%, respectively, using different coding methods can be achieved.