Palmprint Recognition System Using Enhanced Eigenpalms Features
This paper is based on the field of biometrics with concentration on Palmprint as Secured biometric template for Computer Authentication. The authors propose a Palmprint Recognition method based on an enhanced EigenPalm Feature using Gaussian Pyramid decomposition. Their method introduces Gaussian Decomposition of images to test the effects of resolution on the Eigenpalm method. As an image pre-processing algorithm, it achieves enhanced feature extraction by filtering and down sampling the images into reduced resolutions. The Software used to implement the system is coded with MATLAB 7.5. Experiment is carried out by matching the decomposed images with their stored templates on each of the three reduced image resolution levels (128 x 128, 64 x 64, 32 x 32 pixels).