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
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