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chapter13
- 《数字图像处理与机器视觉:Visual C++与Matlab实现》6 支持向量机,综合案例——基于PCA和SVM的人脸识别系统-" Digital image processing and machine vision: Visual C++ and Matlab to achieve" 6 support vector machines, comprehensive case- based on PCA and SVM for Face Recognition Syste
PCA_ORL
- 基于PCA和SVM的人脸识别系统的实现，实验数据采用ORL人脸库。-Based on the PCA and the SVM face recognition system is realized, the experiment data using ORL face database.
new_pca_svm
- 基于PCA和SVM的人脸识别系统主程序 -Based on PCA and SVM for face recognition system main
face-recognition-system
- 基于PCA和SVM的人脸识别系统，该系统为Matlab源代码编程，利用PCA（主成分分析）和SVM（支持向量机）方法进行训练、识别和测试，人脸识别率为91 。-Based on the PCA and SVM of the face recognition system
PCAaSVM
- 基于pca和svm的人脸识别系统。gui图形交互界面的简单应用。-A face recognition system based on pca and SVM.The simple application of GUI graphical interface.
FaceRec_facerecognition
- 基于SVM和PCA的人脸识别算法，有GUI界面，程序运行良好。-Based on SVM and PCA face recognition algorithm, GUI interface, the program works well.
PCA-SVM
- 基于PCA和SVM的人脸识别程序，matlab， ORL库-face recognition code Based on PCA and SVM , matlab， ORL face library
FaceRec
- 分别用基于PCA+SVM和PCA+Adaboost 两种算法进行对200张人脸图片进行识别。(200 face images are identified by two algorithms based on PCA+SVM and PCA+Adaboost.)
matlabt\人脸识别
- 基于pca和svm的gui界面的matlab的人脸识别程序，可以帮助你快速的上手matlab图像处理简单的识别