Footprint based recognition system

Abstract

This paper proposes a new method of personal recognition based on footprints. In this basis method, an input pair of raw footprints is normalized, both in direction and in position. The foot image is segmented and its key points are located. The foot image is aligned and cropped according to the key points. The footprint image is enhanced and resized. Sequential Modified Haar transform is applied to the resized footprint image to obtain Modified Haar Energy (MHE) feature. The sequential modified Haar wavelet can map integer-valued signals onto integer-valued signals abandoning the property of perfect reconstruction. The MHE feature is compared with the feature vectors stored in database using Euclidean Distance. The accuracy of the MHE feature and Haar energy feature under different decomposition levels and combinations are compared. More than 88.37% accuracy achieved from the proposed MHE feature. © 2011 Springer-Verlag.