DocumentCode :
2454345
Title :
An embedded face recognition system on A VLSI array architecture and its FPGA implementation
Author :
Mohan, A.R. ; Sudha, N. ; Meher, Pramod K.
Author_Institution :
Centre for High Performance Embedded Syst., Nanyang Technol. Univ., Singapore
fYear :
2008
fDate :
10-13 Nov. 2008
Firstpage :
2432
Lastpage :
2437
Abstract :
Face recognition is a non-intrusive way of automated person identification. A popular method for face recognition is using eigen faces. Eigen faces are obtained by doing principal component analysis (PCA) on the face database. A neural network that performs PCA is called principal component neural network (PCNN). This paper presents a systolic array design for principal component neural network-based face recognition system. Results of implementation of the design in an FPGA device of Xilinx confirm the suitability of the design for real-time video surveillance and high-speed access control.
Keywords :
VLSI; face recognition; field programmable gate arrays; neural nets; principal component analysis; FPGA; VLSI array architecture; automated person identification; eigen faces; embedded face recognition; principal component neural network; systolic array design; Computer architecture; Face detection; Face recognition; Field programmable gate arrays; Image databases; Neural networks; Principal component analysis; Spatial databases; Very large scale integration; Video surveillance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
Conference_Location :
Orlando, FL
ISSN :
1553-572X
Print_ISBN :
978-1-4244-1767-4
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2008.4758338
Filename :
4758338
Link To Document :
بازگشت