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人脸检测原理及示例(OpenCV+Python) 做人脸识别方向的可以参考下-Face detection theory and examples (OpenCV+ Python) to do face recognition, under the direction of the can refer to
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这个是自己用Python2.7写的基于opencv的车牌识别,目前识别率还是不怎么高,车牌定位采用的是形态学变换,分割是自己写的一个算法,识别部分采用的是kNN算法,有详细的注释!-This is his written in Python2.7 opencv based license plate recognition, the recognition rate is not very high, license plate location is the morphological tra
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用python实现电脑与默认摄像头（自带摄像头）的连接，并进行人脸识别。-computerized connection with the default camera (comes with camera) via python, and do face recognition.
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手势识别，基于python+opencv-Gesture Recognition
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人脸识别，在vs+opencv+python环境下运行，利用numpy等插件写的程序，简单易懂。-Face recognition, in vs+ opencv+ python environment to run, the use of numpy and other plug-ins to write the program, easy to understand.
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利用python中的opencv库，实现人脸识别的xml文件(The use of Python Library in opencv, XML file for face recognition.)
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利用Python在树莓派上实现一个人脸识别系统(Using Python to implement a face recognition system on raspberry pi)
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使用opencv进行图像识别，识别以白底彩色的字母图形，主要用opencv的函数完成识别过程(Opencv is used to identify the image and identify the alphabet with white background color. The recognition process is accomplished mainly by the function of OpenCV.)
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基于opencv的手势识别的猜拳游戏，可实现识别石头，剪刀，布，并和电脑的随机结果比较，判断输赢。(The opencv gesture recognition based on game, can realize the identification of stone, scissors, cloth, and compare the results and random computer, to determine the winners and losers.)
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基于python+opencv 的 人脸识别，对一段视频进行读取，并检测出人脸，然后进行PCA 降维，最后用SVM进行人脸识别，识别率94%左右。(Based on python + opencv face recognition, a video was read, and face detection, and then PCA dimension reduction, and finally SVM face recognition, recognition rate of about 9
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vc++通过socket与maya的python port进行通信，控制maya参数，并且集成opencv功能，渲染完成即可使用opencv进行处理，模拟研究视觉识别还是比较方便的，参照里面的client部分的代码(Vc++ through the socket and maya the python port to communicate, control maya parameters, and integrated opencv function, rendering can be com
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算法思想来自于网上资源，先使用图像边缘和车牌颜色定位车牌，再识别字符。车牌定位在predict方法中，为说明清楚，完成代码和测试后，加了很多注释，请参看源码。车牌字符识别也在predict方法中，请参看源码中的注释，需要说明的是，车牌字符识别使用的算法是opencv的SVM， opencv的SVM使用代码来自于opencv附带的sample，StatModel类和SVM类都是sample中的代码。SVM训练使用的训练样本来自于github上的EasyPR的c++版本。由于训练样本有限，你测试时会
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人脸识别，运用python进行人脸识别，图像识别(Face recognition using Python)
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简单的python人脸识别代码，不错的入门学习资料(Simple Python face recognition code, a good starting point for learning)
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