An iris recognition based on dual tree complex wavelet transform

With an increasing emphasis on security, automated personal identification and verification based biometrics has been receiving extensive attention over the past decade. The iris images captured from the same person or different persons differ in size due to illumination variations and other factors. The iris recognition system is composed of many steps. Namely, capturing the iris patterns; determining the location of the iris boundaries; converting the iris boundary to the polar coordinate system; extracting the iris code based on wavelet transforms; and classification of the iris code. There are many methods proposed for iris recognition by many researchers. The proposed system based on dual tree complex wavelet transform for iris recognition system with high performance and acceptance/rejection capabilities is described.