Automated Human Identification Using Ear Imaging

We investigate a new approach for the automated human identification using 2D ear imaging. We present a completely automated approach for the robust segmentation of curved region of interest using morphological operators and Fourier descriptors. We also investigate new feature extraction approach for ear identification using localized orientation information and also examine local graylevel phase information using complex Gabor filters. Our investigation develops a computationally attractive and effective alternative to characterize the automatically segmented ear images using a pair of log-Gabor filters.