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Abstract
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.
Issue: Vol 14 No 4 (2011)
Page No.: 24-33
Published: Dec 30, 2011
Section: Natural Sciences - Research article
DOI: https://doi.org/10.32508/stdj.v14i4.2033
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