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基于小波低频子带的奇异值分解的图像识别
引用本文:郑春龙,何家忠,张地.基于小波低频子带的奇异值分解的图像识别[J].韶关学院学报,2008,29(12).
作者姓名:郑春龙  何家忠  张地
作者单位:1. 韶关学院物理系,广东韶关,512005
2. 韶关学院计算机科学系,广东韶关,512005
基金项目:国家自然科学基金资助项目(60772117); 浙江省自然科学基金(Y604106); 浙江省“新世纪151人才工程”基金; 浙江省重点学科科研基金资助项目
摘    要:提出一种基于小波低频子带的统一特征空间奇异值分解的人脸识别方法.首先利用小波变换提取人脸图像的低频子带,然后作傅立叶变换,获得低频子带的频谱;将低频子带的频谱投影到标准脸奇异值分解的统一特征空间,投影系数作为人脸识别特征;采用L_1距离进行最小距离分类,实验结果表明,该方法比统一特征空间奇异值分解方法可获得更高的识别率.

关 键 词:人脸识别  小波变换  统一特征空间  奇异值分解

Image recognition using singular value decomposition based on wavelet low-frequency band
ZHENG Chun-long,HE Jia-zhong,ZHANG Di.Image recognition using singular value decomposition based on wavelet low-frequency band[J].Journal of Shaoguan University(Social Science Edition),2008,29(12).
Authors:ZHENG Chun-long  HE Jia-zhong  ZHANG Di
Institution:1.Department of Physics; Shaoguan University; Shaoguan 512005; Guangdong; China; (2.Department of Computer Science; China);
Abstract:This paper proposes a face recognition method using uniform eigen-space singular value decomposi- tion(SVD)based on Wavelet low-frequency band.Wavelet Transform is applied to obtain low-frequency band of facial image.By using Fourier transform,the spectrum representation of low-frequency band is obtained. Then the spectrum is projected into a uniform eigen-spaoe that is obtained from SVD of standard face image and the resultant coefficients are used as the feature of the facial image for recognition.The L_1...
Keywords:face recognition  wavelet transform  uniform eigen-space  singular value decomposition  
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