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.

  author = {{Fern\'andez Clotet}, Pol and Findling, Rainhard Dieter},
  title = {Mobile Wrist Vein Authentication Using {SIFT} Features},
  booktitle = {Abstract from {EUROCAST}},
  year = {2017},
  editor = {Jensen, T.},
  series = {LNCS},
  pages = {140--141},
  address = {Las Palmas, Spain},
  month = feb,
  publisher = {Springer},
  note = { {Extended abstract}},
  keywords = {mobile authentication, NIR, SIFT features, wrist veins}