Iris recognition using Discrete Wavelet Transform and Artificial Neural Net or s
Onsy Abdel Alim, Mansur As · 2006
The iris of the human eye has a highly detailed pattern which is unique for each individual and stable over years. It is now considered as an important and reliable biometric tool for personal identification. A new technique for extracting iris texture using the 2D-DWT at different decomposition levels is suggested. Recognition rates of about 95% have been achieved using ANN classifiers.