This paper describes a hand geometry biometric identification system. We have acquired a database of 22 people, 10 acquisitions per person, using a conventional document scanner. We propose a feature extraction and classifier. The experimental results reveal a maximum identification rate equal to 93.64%, and a minimum value of the detection cost function equal to 2.92% using a multi layer perceptron classifier.

翻译：本文描述了手形几何生物鉴别系统,我们利用常规文件扫描仪获得了22人(每人10人)的数据库,我们建议采用特征提取和分类方法,实验结果显示最高识别率为93.64%,检测成本最小值为2.92%,使用多层分辨器。