International Journal of Computer and Information Technology (IJCIT)
One of the most reliable biometric is the iris, due to its stability, uniqueness and noninvasive nature. One of the difficult problems in feature based iris recognition is the speed of matching, which is significantly influenced by time required for feature extraction process, size of the template database stored, etc. In this paper, a new approach of iris image compression and feature extraction based on Discrete Wavelet Transformation (DWT) is applied. The obtained features dimensionality were further reduced by using Principle Component Analysis (PCA), which drastically reduces the size of the iris database images.