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一种混合特征的人脸识别算法仿真研究
引用本文:李扬,孙劲光.一种混合特征的人脸识别算法仿真研究[J].计算机仿真,2012,29(1):209-213.
作者姓名:李扬  孙劲光
作者单位:辽宁工程技术大学电子与信息工程学院,辽宁葫芦岛,125105
基金项目:辽宁省重点实验室资助项目
摘    要:研究人脸识别优化问题,人脸图像受光照、人脸表情和位置变化等因素影响,由于图像具有复杂的多尺度特征,传统人脸识别算法只能提提取局部或全局特征,不能准确描述人脸图像,导致人脸识别率低。为了提高人脸识别率,提出一种小波分解和LBP算子相结合的人脸识别算法(WTLBP)。WTLBP首先利用小波变换对人脸图像进行分解,将人脸图像分解成大尺度和小尺度图像,然后采用LBP算子提取人脸图像的多尺度特征,最后采用概率统计法对人脸进行匹配识别。对ORL人脸库进行仿真,结果表明,WTLBP能够提取到人脸图像更加丰富的局部和全局信息,对光照、人脸表情和位置变化具有较高的鲁棒性,提高了人脸识别率。

关 键 词:人脸识别  小波变换  局部二值模式  多尺度  直方图

Simulation of Face Recognition Based on mixed Features Algorithm
LI Yang , SUN Jin-guang.Simulation of Face Recognition Based on mixed Features Algorithm[J].Computer Simulation,2012,29(1):209-213.
Authors:LI Yang  SUN Jin-guang
Affiliation:( School of Electronic and Information Engineering,Liaoning Technical University,Huludao Liaoning 125105,China)
Abstract:The paper researched the problem of face recognition.Face image is affected by the factors of beam,expression and location,etc,and it has characters of complex multi-scale.Traditional face recognition algorithm can only exact the face’s local or global characteristics,but it cannot describe the face image accurately,which leads to the low accuracy of recognition.In order to improve the accuracy of recognition,we proposed an algorithm in which wavelet decomposition was combined with LBP operator(WTLBP).Firstly,it decomposed face image with wavelet transform and divided the face image into large scale and small scale images.Then,LBP operators were adopted to extract the multi-scale characters of face image.At last,it recognized the face by the means of probability statistics.The simulation experiments were carried out based on ORL face library,and the results show that WTLBP can extract the more local and global information of face image,and it has the strong robustness against the change of illumination,expression and location.It has improved the face recognition rate markedly.
Keywords:Face recognition  Wavelet decomposition  Local binary mode  Multi-scale  Histogram
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