Feature extraction through iris images using 1-D Gabor filter on different iris datasets

In recent years the human iris has established itself as a robust biometric. Biometric deals with identification of individual person based on their behavioral characteristic. Iris recognition is one of the most reliable and widely used biometric techniques available. This paper describes the iris recognition system using 1-D Gabor filter. Author describes a customized iris feature extraction algorithm which has been applied directly on the iris images. 1D-Gabor is used to extract the unique features which include real and imaginary part. The proposed method uses these features to recognize individual´s identity on different sets. Hamming distance based matching algorithm is used for iris template matching. The proposed algorithm has been tested on different iris database with noisy image and noise free image and the result showed the excellent accuracy with excellent processing speed.