Research of Face Recognition System Based on TMS320DM642

摘要：

　　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.

关键词： TMS320DM642 digital signal processor Face detection Face recognition

作者: Zhen Liu Jichao Yuan Shuai Mei Xiong Shi

作者单位: School of Electrical and Electronic Engineering,Wu Han Polytechnic University,Wu Han Hubei province,430023

会议类型: 国际会议

会议名称: 2013 International Conference on Energy Research and Power Engineering(2013能源研究与电力工程国际会议)(ERPE2013)

会议地点: 郑州

会议语种:英文

页码: 1016-1020

在线出版日期: 2013-05-24（万方平台首次上网日期，不代表论文的发表时间）