计算机技术与发展2012，Vol.22Issue(2)：25-28,4.
基于隐马尔科夫模型的人脸识别
Face Recognition Based on Hidden Markov Model
摘要
Abstract
Extracting face features from facial images and facial image matching are the most important part in the face recognition system. A face recognition approach based on Hidden Markov Model was presented in this paper. Firstly, this method establishes the Hidden Markov Model according to the features of face,then preprocessing the image,sample the face image by sampling window and process DCT( Discrete Cosine Transform) transformation,get the DCT coefficient as observation vector. Finally train the face image,after trained the image,get the HMM parameters of a people. The face recognition algorithm based on DCT coefficient makes the full use of face image 2-D statistical property, with high rate in different condition. The experimental results demonstrate that the proposed algorithm has excellent performance.关键词
隐马尔科夫模型/光照补偿/人脸识别Key words
HMM/illumination compensation/face recognition分类
信息技术与安全科学引用本文复制引用
余龙华,王宏,钟洪声..基于隐马尔科夫模型的人脸识别[J].计算机技术与发展,2012,22(2):25-28,4.基金项目
云南省科技计划项目(2009CA021) （2009CA021）
中央高校基本科研业务费项目(ZYGX2010J023) （ZYGX2010J023）
