An Authentication System Based on Palmprint

In this paper, palmprint based authentication is presented. The palmprint image is acquired using an acquisition system developed at IIT Delhi. The region of interest (ROI) is extracted from the palmprint image by finding a tangent of curves between fingers. The perpendicular bisector of this tangent divides the rectangular area enclosing the palmprint into two equal parts. The features extracted from the ROIs are used for matching. Two approaches are suggested for the feature extraction. In the first approach the ROI is divided into a suitable number of non-overlapping windows from which fuzzy features are extracted. In the second approach multi-scale wavelet decomposition is applied on the ROI and the detail images are combined to yield a superimposed image which is partitioned into non-overlapping windows. From these windows energy feature is extracted. The two sets features are used to determine the genuine and impostor scores. The results on 125 users show 99.2% with fuzzy feature and 94.4% with wavelet based feature.