A pyroelectric infrared biometric system for real-time walker recognition by use of a maximum likelihood principal components estimation (MLPCE) method

Jian Shuen Fang*, Qi Hao, David J. Brady, Bob D. Guenther, Ken-Yuh Hsu

*此作品的通信作者

研究成果: Article同行評審

33 引文 斯高帕斯(Scopus)

摘要

This paper presents a novel biometric system for real-time walker recognition using a pyroelectric infrared sensor, a Fresnel lens array and signal processing based on the linear regression of sensor signal spectra. In the model training stage, the maximum likelihood principal components estimation (MLPCE) method is utilized to obtain the regression vector for each registered human subject. Receiver operating characteristic (ROC) curves are also investigated to select a suitable threshold for maximizing subject recognition rate. The experimental results demonstrate the effectiveness of the proposed pyroelectric sensor system in recognizing registered subjects and rejecting unknown subjects.

原文English
頁(從 - 到)3271-3284
頁數14
期刊Optics Express
15
發行號6
DOIs
出版狀態Published - 19 三月 2007

指紋

深入研究「A pyroelectric infrared biometric system for real-time walker recognition by use of a maximum likelihood principal components estimation (MLPCE) method」主題。共同形成了獨特的指紋。

引用此