Face recognition algorithm based on open CV

Abstract

With the rapid development of information technology and the continuous improvement of people's security awareness, people pay more and more attention to the research of face recognition. Open CV is an open source cross platform computer vision library, which realizes many common algorithms in image processing and computer vision. QT is a cross platform C++ GUI application development framework, which can be used to develop both GUI and non GUI programs. This paper first introduces the face recognition method. The process of face recognition includes three parts: face detection, face representation and face recognition. Secondly, the face recognition algorithm is studied, and PCA algorithm is used for face recognition. Then we use Visual Studio 2013 to build a face recognition system based on open CV, design the user interface with QT, and realize the face model detection and recognition training: open the image, carry out face detection and location, face feature annotation, and then open the second photo for recognition. At the same time, each module and the whole process of the system are tested, the test results are good, and a complete face detection and recognition system based on open CV is realized.