A Novel Algorithm for Iris Recognition
Xueyi Ye · Journal of Circuits and Systems · 2003
Iris recognition comprises some kernel processes as iris positioning, texture feature extraction, coding and recognition. A novel algorithm is proposed in this paper. At first, the histogram of monochrome image is constructed. The boundary of iris is determined by choosing proper threshold value after pixel value analysis. The position of iris is determined by polling-mechanism. The iris image is further divided into sub-regions of texture features, By means of complex-valued continuous Gabor wavelet transform, the phase information of iris texture features can be extracted. Such phase information is then encoded by binary-bit Gray coding followed by recurrent differential coding. After calculation using eigen-polynomial, the eigen-value difference matrices (P_iris) of two irises is compared and finally the recognition is made using threshold value (P0).