Fuzzy based IRIS recognition system (FIRS) for person identification

Person identification using iris recognition method is very effective and popular. Existing iris recognition methods have problems because of non-uniform illumination, rotational inconsistencies and noise. An efficient Fuzzy based Iris Recognition Scheme (FIRS) has been proposed in this paper to overcome the above deficiencies. This scheme has four stages namely Segmentation, Normalization, Feature extraction and classification using fuzzy logic. The proposed scheme uses Hough transform for detection of Region Of Interest (ROI), and combination of Discrete Wavelet Transform (DWT) and Independent Component Analysis (ICA) for feature extraction. The proposed scheme has been tested and the results have been reported. It was observed that the proposed method classifies the images with better accuracy and outperforms the existing methods.