计算机工程与科学2017，Vol.39Issue(5)：925-930,6.DOI:10.3969/j.issn.1007-130X.2017.05.016
基于EHMM-SVM的人脸识别算法研究
A face recognition algorithm based on EHMM-SVM
刘欢 1苏士美1
作者信息
- 1. 郑州大学电气工程学院,河南郑州450001
- 折叠
摘要
Abstract
The EHMM relies on the output maximum likelihood probability to determine the face image.However,because of the similarity between face images,this method can lead to recognition errors.We propose a face recognition method based on the EHMM-SVM.The two-dimensional discrete cosine transform (2D-DCT) is used to extract face features so as to obtain the observation vector sequence.The output probability of each face image corresponding to the EHMM model is obtained by the double nested Viterbi algorithm.The output probability is input into the SVM for classification training and recognition tests,and the results of face recognition are obtained.ORL and YALE face databases are used in the experiments.Experimental results show the feasibility and effectiveness of the method.关键词
EHMM/SVM/人脸识别/2D-DCT/ViterbiKey words
EHMM/SVM/face recognition/2D-DCT/Viterbi分类
信息技术与安全科学引用本文复制引用
刘欢,苏士美..基于EHMM-SVM的人脸识别算法研究[J].计算机工程与科学,2017,39(5):925-930,6.
