Research And Implementation Of Face Recognition Algorithm Based On OpenCV

With the development of science and technology,face recognition technology is applied in a wide range of fields.OpenCV is one of the key algorithms of face recognition.In this paper,the OpenCV based face recognition technology algorithm will be elaborated in detail,and through the detection of face,image preprocessing,recognition features,specific face recognition for a depth cut,a detailed description of OpenCV based face recognition design and implementation of several ways,we need to fully play Op.The role of OpenCV expands the scope of face recognition technology.Face plays an important role in today's society.It is the most commonly used biological feature in identifying a person's identity and signs.It is of urgent and important application value and theoretical value to study face tracking and recognition and corresponding effective technology.Face detection,recognition and tracking based on color-rich image sequences are a series of applications that need to be gradually developed into a series of research core in recent years along with the growth of computer technology and monitoring video.This paper focuses on the construction of a face tracking and recognition system,focusing on accurate and real-time face image detection and tracking in color images,and transferring the traceable face images to the server for identification.The system will be divided into two important parts: server and client.Open ComputerVisions in the OpenCV Customer Library,for the Windows,Linux,Android,MacOS and the location code for the OpenCV-basedlibrary.This paper introduces the special algorithms of face recognition: PCA-based human recognition algorithm,Fisher line-based face recognition algorithm and LBP-based face recognition algorithm.Among these algorithms,computing time,computing accuracy,data storage and scalability have their own advantages and disadvantages.As the core of image recognition module,the algorithm and implementation of image recognition has become the core of image acquisition module.It is responsible for image acquisition and preliminary processing.Face recognition algorithm has a large number of operations,and the control is quite complex,which means that there is a high demand on the system.Because of its excellent capability and special structure,it can meet the needs of system theory very well,so the flexibility and high-speed also improve the real-time required by the system,and reduce the difficulty of system design.