Mobile Wrist Vein Authentication Using SIFT Features

Biometrics have become important for authentication on modern mobile devices. Thereby, different biometrics are differently hard to observe by attackers: for example, veins used in vein pattern authentication remain hidden when not using specialized hardware. In this paper we propose a low cost mobile vein authentication system based on SIFT features. We implement our approach as vein recording and authentication prototype, evaluate it using a self recorded vein database, and compare results to other vein recognition approaches applied on the same data.