An Iris Recognition Algorithm Based on Independent Component Analysis

Iris recognition, as a biometric technology, has great mathematical advantages, such as variability, stability and security, thus becoming a hot topic in pattern recognition and machine learning research area A new Iris recognition algorithm is proposed, which adopts independent component analysis （ICA） to extract Iris texture feature and adopts competitive learning mechanism to recognize Experimental results show that the algorithm is efficient and adaptive to environment, e g it works well even for blurred Iris image and interference of noises