会议专题

Design of EHMM Based Embedded Face Recognition System

In this paper an embedded system based on high speed digital signal processor (DSP) for face recognition is designed which can be used in real environment An AdaBoost based face detection algorithm using Haar features is designed to detect the face in the acquired image. Then cubic interpolation is employed to scale the facial image to the predefined size, and histogram equalization will also be performed to enhance the contrast of the facial image. An embedded hidden Markov model with seven super states and total 36 embedded states is constructed to recognize the detected face. The hardware framework and software design are illustrated in this paper and experiments based on simulator and designed hardware platform are performed. The results show that the proposed system can achieve 83% recognition rate under normal lighting condition and meets the requirements of real environment applications.

face recognition EHMM AdaBoost DSP

Hu Jianling Shao Lei Cao Honglong

School of Electronic & Information Soochow University,Suzhou,215006,China

国际会议

2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

太原

英文

642-645

2011-02-26(万方平台首次上网日期,不代表论文的发表时间)