An improved iris recognition system using feature extraction based on wavelet maxima moment invariants

Human recognition technology based on biometrics has received increasing attention over the past decade. Iris recognition is considered to be the most reliable biometric authentication system and is becoming the most promising technique for high security. In this paper, we propose a multiscale approach for iris localization by using wavelet modulus maxima for edge detection, a fast and a compact method for iris feature extraction based on wavelet maxima components and moment invariants. The features are represented as feature vector, thus allowing us to also propose a fast matching scheme based on exclusive OR operation. Experimental results have shown that the performance of the proposed method is very encouraging and comparable to the well known methods used for iris texture analysis.