Abstract-A new approach for recognizing the iris of the human eye is presented. Zero-crossings of the wavelet transform at various resolution levels are calculated over concentric circles on the iris, and the resulting one-dimensional (1-D) signals are compared with model features using different dissimilarity functions.
Boles and Boashash REF calculated zero-crossing representation of 1-D wavelet transform at various resolution levels of a virtual circle on an iris image to characterize the texture of the iris.
A Human Identification Technique Using Images of the Iris and Wavelet Transform
IEEE Transactions on Signal Processing
Computer Science Mathematics