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

TitleA pyroelectric infrared biometric system for real-time walker recognition by use of a maximum likelihood principal components estimation (MLPCE) method.
Publication TypeJournal Article
Year of Publication2007
AuthorsJ-S Fang, Q Hao, DJ Brady, BD Guenther, and KY Hsu
JournalOptics Express
Volume15
Start Page3271
Issue6
Pagination3271 - 3284
Date Published03/2007
Abstract

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.

DOI10.1364/oe.15.003271
Short TitleOptics Express