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 REF obtained the iris representation of 1-D signals composed of normalized iris image via the zero-crossing of the dyadic wavelet transform.
A Human Identification Technique Using Images of the Iris and Wavelet Transform
IEEE Transactions on Signal Processing
Computer Science Mathematics