A Mobile-Oriented Hand Segmentation Algorithm Based on Fuzzy Multiscale Aggregation


We present a fuzzy multiscale segmentation algorithm aimed at hand images acquired by a mobile device, for biometric purposes. This algorithm is quasi-linear with the size of the image and introduces a stopping criterion that takes into account the texture of the regions and controls the level of coarsening. The algorithm yields promising results in terms of accuracy segmentation, having been compared to other well-known methods. Furthermore, its procedure is suitable for a posterior mobile implementation.

Publication type: 
Published in: 
International Symposium on Visual Computing (ISVC 2010) Las Vegas, USA. LNCS Springer vol. 6453, p.p. 479-488
Publication date: 
November 2010
CeDInt Authors: 
Other Authors: 
A. García-Casarrubios