Personal Authentication Using Human Iris Recognition Based on Embedded Zerotree Wavelet Coding

This paper presents a biometric recognition system based on the iris of a human eye using embedded zerotree wavelet coding. The proposed system consists of three modules: image pre-processing, feature extraction, and recognition modules. Image pre-processing module uses some image processing algorithms to localize and cut the region of iris out of the input image. The feature extraction module adopts a modified embedded zerotree wavelet coding to discriminate texture features. The system encodes the features to generate its iris feature codes. Finally, the recognition module uses these feature codes for iris matching. The experimental results show that the system has an encouraging performance on the UBIRIS iris image database. The recognition rates up to 100.00% can be achieved.