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

翻译：本文介绍了基于手形几何的生物鉴别系统。我们描述一个专门为研究目的收集的数据库,由50人和10种不同的右手获取者组成。这个数据库可以自由下载。此外,我们描述一个特征提取程序,并使用基于多层感应器(MLP)的不同分类战略获取实验结果。我们评估了识别率和用于核查应用的检测成本函数(DCF)值。实验结果显示100%的识别率和0 %的 DCF。