Open AccessDESIGNING A SOPC FOR FACE RECOGNITION USING WMPCA ALGORITHM
Author(s) -
Nhu Truong,
Diem Thi Tran
Publication year - 2011
Publication title -
khoa học công nghệ
Language(s) - English
Resource type - Journals
ISSN - 1859-0128
DOI - 10.32508/stdj.v14i4.2033
Subject(s) - modular design , field programmable gate array , computer science , principal component analysis , component (thermodynamics) , embedded system , chip , system on a chip , computer hardware , vector quantization , hardware acceleration , facial recognition system , computer architecture , pattern recognition (psychology) , algorithm , artificial intelligence , operating system , telecommunications , physics , thermodynamics
A flexible accelerator hardware for full-search vector quantization (VQ) has been developed as a component for a system on a programmable chip (SoPC) to use in real-time image compression and recognition applications. Nowadays, FPGA and its SoPC (System on Programmable Chip) tools are powerful enough to efficiently develop a flexible hardware accelerator for VQ application. In addition, one of statistical analysis methods, weighted modular principal component analysis, has showed efficiencies in recognition applications. In this paper, a parallel architecture for online face recognition using weighted modular principal component analysis (WMPCA) and its system-on-programmable-chip (SoPC) implementation are discussed.