论文标题
通过手动几何形状和神经网分类器的生物识别识别
Biometric identification by means of hand geometry and a neural net classifier
论文作者
论文摘要
本文介绍了手工几何生物识别识别系统。我们已经使用常规文档扫描仪获得了22个人的数据库。实验部分包括有关不同提取特征的歧视能力的研究,以及使用基于神经网络的不同分类器的识别率。
This Paper describes a hand geometry biometric identification system. We have acquired a database of 22 people using a conventional document scanner. The experimental section consists of a study about the discrimination capability of different extracted features, and the identification rate using different classifiers based on neural networks.