Iris feature extraction using directional filter bank for personal identification

摘要

Iris Recognition is a biometric tool, which has great emphasis in both research and practical applications. In this paper an Iris Recognition System using Directional Filter Bank (IRSDFB) is proposed. The normalized Iris is fragmented into three regions. The most distinctive features of the region nearer to the pupil are encoded to form the feature vector using Directional Filter Bank, instead of considering the entire Iris including the occluded portion. Therefore the Iris images captured with lesser cooperation can also be verified successfully. The decidability index of IRSDFB model is more compared to the existing algorithm using Gabor filter bank.