Research of Face Recognition System Based on TMS320DM642

Zhen Liu; Ji Chao Yuan; Shuai Mei; Xiong Shi

doi:10.4028/www.scientific.net/AMM.341-342.975

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 341-342Research of Face Recognition System Based on...

Research of Face Recognition System Based on TMS320DM642

Abstract:

This paper proposes an embedded face recognition system solution. The core of hardware architecture of the system is TMS320DM642 digital signal processor (DSP). The face recognition algorithm of the system mainly comprises improved face detection algorithm which is based on skin color, Gabor wavelet feature extraction algorithm, Principal Component Analysis (PCA) algorithm and nearest neighbor classifier algorithm. The results of testing on recognition efficiency and execution time show that the system can work stably and realize face recognition quickly and accurately.

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Periodical:

Applied Mechanics and Materials (Volumes 341-342)

Pages:

975-979

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.341-342.975

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Online since:

July 2013

Authors:

Zhen Liu, Ji Chao Yuan, Shuai Mei, Xiong Shi

Keywords:

Digital Signal Processor (DSP), Face Detection, Face Recognition, TMS320DM642

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