Bit plane slicing technique for iris based biometric system

This paper proposes a novel approach for feature extraction using bit plane slicing. This technique is preferred over some traditional methods of feature extraction using orthogonal and non orthogonal transforms that uses real features. The extracted real features are computationally expensive in terms of time and storage. The proposed iris based biometric system is implemented by localizing the inner pupil and outer iris boundary using dynamic thresholding technique and Circular Hough Transform. The localized iris texture is mapped into rectangular block to extract unique descriptors. For feature extraction and iris code generation bit plane slicing approach is used. After generation of bit codes, matching is done using bitwise XOR operator. The system is tested on BATH, CASIA and IITK databases and outperforms existing approaches in terms of accuracy.