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 are only revealed with specialized hardware. In this paper we propose a low cost mobile vein authentication system based on Scale-Invariant Feature Transform (SIFT). 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 = {Proc. {Eurocast 2017}},
  year = {2017},
  volume = {10671},
  series = {LNCS},
  pages = {205--213},
  address = {Las Palmas, Spain},
  month = apr,
  publisher = {Springer},
  doi = {10.1007/978-3-319-74718-7_25},
  keywords = {Mobile authentication, wrist veins, NIR, SIFT features},
  url = {}