This document discusses palm vein authentication using biometrics. It begins with an introduction to biometrics and why palm vein authentication is advantageous. Specifically, palm vein patterns are unique and difficult to forge. The document then describes the methodology used, which involves a hybrid approach combining discrete cosine transformation and Walsh transformation matrices to extract features from palm vein images. Edge detection histograms are also used. The proposed algorithm takes an input palm vein image, preprocesses it, extracts features using the hybrid transform, and compares features to a trained dataset to authenticate identities. Palm vein authentication offers advantages like being non-intrusive, accurate due to complex vein patterns, and hygienic due to its contactless nature.