Iris Biometrics for Secure Remote Access

We propose a new iris texture coding technique with optimal feature extraction, and design a secure remote (internet) access system using the proposed biometrics. The proposed iris coding method is based on Zak-Gabor coefficients sequence, and additionally uses an optimal selection of a subset of iris features. The secure access involves a communication scenario that employs a usual client-server network model, thus incorporating standard security mechanisms with biometric enhancements. The proposed access scenario enables to include the aliveness detection capability and the biometric replay attack prevention.