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
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)