Research of face recognition under active infrared lighting based on embedded system

Author

Shi, Guangshun ; Lan, BiJia ; Huang, Liang ; Peng, XiaoYong ; Ma, JiaFeng ; Liang, Qian

Author_Institution

Coll. of Inf. Tech. Sci., NanKai Univ., Tianjin, China

fYear

2011

fDate

28-28 Nov. 2011

Firstpage

535

Lastpage

539

Abstract

This paper proposes an optimized face recognition system for embedded hardware environment. A novel active infrared lighting mechanism is designed to improve quality of face image. Adaboost algorithm is used to locate regions of interest in face image. Based on the guidance of heuristic rules, an improved DLA algorithm is designed to extract feature in frequency domain. A PNN-based classifier is implemented to achieve recognition result. The system architecture is also discussed based on these key methods. We realize the system on ARM11 CPU and the test result shows high recognition accuracy with high running speed.

Keywords

embedded systems; face recognition; feature extraction; image classification; learning (artificial intelligence); neural nets; probability; ARM11 CPU; Adaboost algorithm; DLA algorithm; PNN-based classifier; active infrared lighting mechanism; dynamic link architecture; embedded hardware environment; embedded system; face image quality; feature extraction; frequency domain; heuristic rules; optimized face recognition system; probabilistic neural network; region of interest location; Face; Face recognition; Feature extraction; Hardware; Kernel; Lighting; Active Infrared imaging; Dynamic Link Architecture; Embedded System; Face Recognition; PNN;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition (ACPR), 2011 First Asian Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4577-0122-1

Type

conf

DOI

10.1109/ACPR.2011.6166646

Filename

6166646