论文标题
使用MLP分类器的基于手动几何学的识别
Hand Geometry Based Recognition with a MLP Classifier
论文作者
论文摘要
本文提出了基于手几何形状的生物识别识别系统。我们描述了一个专门为研究目的收集的数据库，该数据库由50人和10个不同的右手收购组成。可以免费下载此数据库。此外，我们描述了一个特征提取程序，并使用基于多层感知器（MLP）的不同分类策略获得实验结果。我们已经评估了用于验证应用程序的识别率和检测成本函数（DCF）值。实验结果显示高达100％识别和0％DCF
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
