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这是基于 PCA（主成分分析法） 算法的人脸模式识别原程序；-This is based on the PCA (Principal Component Analysis) algorithm for pattern recognition of the original face;
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PCA人脸识别算法，适用于初学者，内有详细的说明-PCA face recognition algorithm, suitable for beginners, there are detailed instructions
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人脸识别的最基本的算法PCA，主要是描述了特征值法的基本原理，内容很详细。-Most basic algorithm for PCA Face RecognitionFace recognition algorithm is the most basic PCA, mainly describes the basic principles of characteristic value method, content, very detailed.
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主流的人脸识别识别算法pca和lda的融合，将pca和lda方法的优点进行了融合补充的互相之间的不足-Mainstream recognition algorithm for face recognition pca and lda integration of the pca and lda method has the advantage was integration between each other enough to add
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PCA主成分分析算法用于人脸识别的例子。此算法是基于矩阵特征值的排序而提取出主要成分的。-PCA principal component analysis algorithm for face recognition example. This algorithm is based on the ranking of the matrix eigenvalue extracted principal components.
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这是一个PCA人脸识别算法的matlab编程语言，自己写的大家可以参考一下，当然还可以继续改进，互相学习，供大家分享。-This is a PCA face recognition algorithm matlab programming language, write your own you can refer to, of course, can continue to improve, learn from each other, for all to share.
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PCA for image compression, Sanger s algorithm implemented with neural networks
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This is a Simple Code for Face Recognition using PCA + LDA Approach. I hve write this code for ORL Database containing 400 images of 40 persons. I have used Eigenface Algorithm for Face Recognition. Its a Very Simple Code you can easily understand it
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一个基于pca算法的简单的人脸识别系统，可以参考~-Pca-based algorithm for a simple face recognition system, can refer to ~
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Pca algorithm used for face recognition
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采用数字图像主分量分析（PCA）算法实现人脸识别（身份认证或分类）-Principal components using digital image analysis (PCA) algorithm for face recognition (identity or category)
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基于PCA的人脸识别算法实现，用于人脸识别的学习-Based on the PCA face recognition algorithm for face recognition of learning
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一个很简单的用pca来实现人脸识别的程序，内附pca算法的详细介绍和ORL标准人脸库，对初学者有很好地帮助！-A very simple pca face recognition procedures, enclosing the PCA algorithm described in detail and ORL standard face database, help for beginners!
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Nowadays security becomes a most important issue regarding a spoof attack. So, multimodal biometrics technology has attracted
substantial interest for its highest user acceptance, high security, high accuracy, low spoof attack and high recognition
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利用PCA算法进行特征提取和数据降维，再用SVM算法进行人脸识别的程序，里面有人脸数据库！-Use PCA algorithm for feature extraction and data reduction, and then SVM algorithm recognition program, which was face !
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结合PCA的尺度不变特征变换(SIFT)算法，Gabor小波变换与PCA的人脸识别代码，实现了图像的灰度化并进一步用于视频监视控。- Combined with PCA scale invariant feature transform (SIFT) algorithm, Gabor wavelet transform and PCA face recognition code, Achieve a grayscale image and further control for video su
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供做算法研究人员参考，多姿态，多角度，有不同光照,Gabor小波变换与PCA的人脸识别代码。- Algorithm for researchers to do reference, Much posture, multi-angle, have different light, Gabor wavelet transform and PCA face recognition code.
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数据来源：ORL Database of Faces人脸数据库
其中同一个人的10张人脸图像为一组，共40组,图像大小为112x92
采用PCA算法实现对人脸的识别，当每组训练样本占70 时，识别准确率达到96.67 -Source: ORL Database of Faces face in which the same person 10 face images as a group, a total of 40 groups, image size of 112x92 using
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PCA和LDA算法的融合，适用于人脸识别中-Fusion of PCA and LDA Algorithm for Face Recognition
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用于时频分析算法，Gabor小波变换与PCA的人脸识别代码，BP神经网络的整个训练过程。- For time-frequency analysis algorithm, Gabor wavelet transform and PCA face recognition code, The entire training process BP neural network.
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