Iris Recognition using Wavelet Transformation

The demand for an accurate biometric system that provides reliable identification and verification of an individual has increased over the years. A biometric system that provides reliable and accurate identification of an individual is an iris recognition system. In which paper describes the segmentation and the normalization processing for biometric iris recognition system, implemented and validated in MATLAB Software. In this work we use the image database digitized in greyscale, where segmentation algorithms were implemented based on region growing using wavelet decomposition with Gabor filter, finally an alternative segmentation algorithm was designed and implemented, its performance was evaluated with satisfactory results. This approach exploits multiple higher order local pixel dependencies to robustly classify the eye region pixels into iris or non-iris regions. The experimental results provide significant improvement in the segmentation accuracy. For the implementation of this proposed work we use the Image Processing Toolbox under Matlab