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本代码用于人脸识别，可以在ORL、Yale、AR等人脸库上测试使用。-The code for face recognition, can ORL, Yale, AR face database, such as the use of the test.
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基于PCA的人脸识别源代码，使用matlab编程，针对ORL库-PCA-based face recognition source code, the use of matlab programming, for ORL database
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基于PCA改进实现人脸识别的完整代码,采用ORL人脸库进行训练和测试.-Face Recognition Based on the PCA to improve the achievement of a complete code, ORL face database used for training and testing.
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在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验.
-Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and reco
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多尺度LBP的原代码，用于人脸识别，在orl数据库中的识别率达97 以上。-Multi- scale LBP original code, used in face recognition and the recognition rate of over 97 in orl database.
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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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基于Fisher线性判别分析的人脸识别算法代码。内涵ORL人脸数据库-The code for face recognition based on Fisher LDA.And a database of face called ORL is included.
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基于ORL人脸库的人脸识别源程序，识别率88％。-Based on the ORL face database for face recognition source code, the recognition rate of 88.
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一个完整的人脸识别算法实验，快速pca+svm算法，里面还带有orl人脸数据库，并且代码还有相应注释，大小有几十m，是一个很好的人脸实验-A complete face recognition algorithm experiments, fast pca+svm algorithm, which also comes with orl face database, and the code as well as the corresponding notes, there are dozens
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代码是关于主成分分析的人脸识别，使用orl人脸图像集(The code is about principal component analysis of face recognition using ORL face image set)
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