基于Gabor小波的人脸特征提取算法研究及仿真本科设计论文.doc

(此文档为word格式，下载后您可任意编辑修改！) Southwest university of science and technology 本科毕业设计（论文） 题目名称：基于Gabor小波的人脸特征提取算法研究及仿  基于Gabor小波的人脸特征提取 算法研究及仿真 摘要：本论文的主要研究内容包括以下方面：(1)基于Gabor变换的人脸特征提取算法。通过对人脸傅里叶变换和Gabor变换的实验比较，证明了Gabor变换在提取人脸特征方面具有很大的优越性。接着，介绍了Gabor小波变换的快速算法。 (2)针对 Gabor小波的缺点，引进LBP算子，该算子的使用能有效的克服Gabor小波变换的缺点。另外还详细介绍了如何提取“特征脸”的原理和实现过程，对Gabor滤波器参数的选择问题也作了详细说明。 (3) (4)对人脸特征。该部分主要是将提取出来的人脸特征进行验证，。实验表明，采用得到的要远于用结果 关键词：人脸识别；Gabor小波变换；LBP；距离测度 Facial?feature?extraction?algorithm?research?and?simulation?based?on?Gabor?wavelets Abstract：Face Recognition Technology(FRT)is emerging as an active research area in the field of pattern recognition and artificial intelligence.As a biometric technology,FRT has numerous applications such as access control,law enforcement,e-commerce,video surveillance and so on. Face feature extraction is the core of recognition task,which directly impact on classification velocity and face recognition ability. The main contributions of this work are listed as follows： ()Face feature extraction algorithm based on Gabor transform is introduced. Compared with Fourier transform，Gabor transform is proved to be better in face feature extraction.And then，A fast algorithm of Gabor Transform is introduced. (2) According to the disadvantages of Gabor wavelet,This paper introduced LBP operator, the operator can overcome the f aults of Gabor wavelet transform effectively . Also it introduced the principle and realization process how to extract features face in detailed, and the selection of parameters of Gabor filter are detailed instructions. (3) For the problem to the face feature vector high dimension in Gabor and LBP extraction ,this paper used the LPP and PCA dimension reduction algorithm reduced the dimension. (4) In the final face feature extraction ,By calculating the distance of the feature vector to look the similarity between the image to inquire and each image in image database