The Dorsal Hand Vein Recognition project aims to create a secure biometric identification system using the unique vein patterns on the dorsal side of the hand. It employs near-infrared (NIR) imaging for high-quality vein pattern capture. Preprocessing and image segmentation techniques isolate the Region of Interest (ROI), and feature extraction creates a distinct representation stored in a database. During identification, a captured dorsal hand vein image is compared to stored features using a matching algorithm. This non-intrusive, contactless method is less affected by external factors and finds applications in access control, attendance systems, and financial transactions, promising a reliable biometric identification solution.