  This paper presents a biometric recognition system based on hand geometry. We
describe a database specially collected for research purposes, which consists
of 50 people and 10 different acquisitions of the right hand. This database can
be freely downloaded. In addition, we describe a feature extraction procedure
and we obtain experimental results using different classification strategies
based on Multi Layer Perceptrons (MLP). We have evaluated identification rates
and Detection Cost Function (DCF) values for verification applications.
Experimental results reveal up to 100% identification and 0% DCF
