Palmprint Identification Using Transform Domain and Spatial Domain Techniques

Abstract

The palm print is a physiological biometric used for the verification of individuals. In this paper we propose palm print identification using Transform Domain and Spatial Domain Techniques (PITS). Histogram equalization is used on palm print to enhance contrast of an image. The DWT is applied on Histogram equalized image to generate LL, LH, HL and HH bands. The LL band is converted into DCT coefficients using DCT. QPCA is applied on DCT coefficients to generate features. The test and database palmprint features are compared using Euclidean Distance (ED). It is observed that the proposed method gives better performance compared to existing method.