人脸识别技术是生物鉴别技术的重要组成部分。
Human face recognition technology is one of the most important components in creature recognition technology.
PCA是最成功的线性鉴别方法之一，但传统的PCA方法提取的是图像的全局特征，受光照条件和人脸表情变化影响比较大。
But the traditional PCA is influenced by the light condition and the variety of facial expression because it extracts the global feature of the image.
在此基础上，提出了超球投影嵌入支持向量鉴别分析特征降维算法，分层次人脸拒识分类算法。
Then hierachical face recognition with the ability of rejection for non-target and classification for target is proposed.
在ORL标准人脸库及现实人脸图像上的实验结果表明该方法具有很好的鉴别分析能力。
The experimental results on ORL face database show that the method proposed has very good classification capability and high recognition rate.
然后对人脸图像做奇异值分解和离散傅立叶变换，并分别提取最佳鉴别变换特征，用最近邻方法进行分类。
The optimal discriminant features of face are extracted using singular value decomposition and Fourier transform, and then they are classified by the nearest neighbor method. In...
为了提高最大散度差鉴别分析方法在人脸识别中的识别率，提出了一种改进的基于差空间的最大散度差鉴别分析人脸识别算法。
Then improved maximum scatter difference discriminate analysis is performed on the residual space to extract discriminate features of training samples and testing samples.
为了提高最大散度差鉴别分析方法在人脸识别中的识别率，提出了一种改进的基于差空间的最大散度差鉴别分析人脸识别算法。
Then improved maximum scatter difference discriminate analysis is performed on the residual space to extract discriminate features of training samples and testing samples.
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