Statistical feature impact on synthetic palm vein image generation

Abstract

This research work investigated the effect of statistical feature extraction on the generation of synthetic palm vein images. The study employed three statistical features: mean, covariance, and correlation coefficient. The features were used to generate synthetic images which were evaluated using metrics such as Equal Error Rate (EER), Recognition Accuracy (RA), and Recognition Time (RT). The study justifies the use of statistical features in the generation of synthetic palm vein images.