Unconstrained and Contactless Hand Geometry Biometrics


This paper focuses on hand biometrics applied to images acquired from a mobile device. The system offers the possibility of identifying individuals based on features extracted from hand pictures obtained with a low-quality camera embedded on a mobile device. Furthermore, the acquisitions have been carried out regardless illumination control, orientation, distance to camera, and similar aspects. In addition, the whole system has been tested with an owned database. Finally, the results obtained (6.0% ± 0.2) and the algorithm structure are both promising in relation to a posterior mobile implementation.

Publication type: 
JRC-SCI Magazine
Published in: 
Sensors Vol. 11 Issue 11, p.p. 10143-10164
Publication date: 
October 2011
CeDInt Authors: 
Other Authors: 
Aitor Mendaza Ormaza