DocumentCode :
3369979
Title :
Research and implementation of embedded face recognition system based on ARM9
Author :
Wang, Shimin ; Ye, Jihua
Author_Institution :
Coll. of Comput. Inf. Eng., Jiangxi Normal Univ., Nanchang, China
fYear :
2010
fDate :
26-28 June 2010
Firstpage :
2618
Lastpage :
2621
Abstract :
Human face recognition is a widely used biological recognition technology, and a core issue of safeguard. The embedded face recognition system is based on MagicARM2410 development board, including transplantation of Linux operating system, the development of drivers, detecting face by using face class Haar feature, and then recognizing face by using Gabor features and PCA transform algorithm. By testing the system with actual images, it basically achieves the desired result.
Keywords :
Haar transforms; embedded systems; face recognition; principal component analysis; ARM9; Gabor feature; Haar feature; Linux operating system; MagicARM2410 development board; PCA transform algorithm; biological recognition technology; embedded face recognition system; Biological information theory; Cameras; Face detection; Face recognition; Fingerprint recognition; Hardware; Kernel; Linux; Operating systems; Principal component analysis; embedded operating system; face recognition; gabor; haar; linux; pca;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
Type :
conf
DOI :
10.1109/MACE.2010.5536835
Filename :
5536835
Link To Document :
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