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.<br>
<br><pre>@inproceedings{Fernandez_17_MobileWristVein,
  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 = {https://link.springer.com/chapter/10.1007%2F978-3-319-74718-7_25}
}
</pre>