The Research And Application Of Several Kinds Of Face Recognition Algorithms

People walking in a public place the light energy waste phenomenon such as have always be a people issue of concern.The university classroom as one of the very special public occasions, how to detect determine whether someone is, has very realistic research significance.Face recognition technology was applied to the teaching, which importance is self-evident.It is the energy saving, convenient to improve the teaching quality and students' learning life one of the key factors.Considering the study environment is in the classroom, the main objects of study are students, students at this time, the site activities are listening to lectures, learning, etc, and is in a sitting posture, most of the physical characteristics will be part of the shade, so here to choose the most representative in the upper part of the extracted as the features of a face.Paper chooses specific background conditions of face image, respectively, using the algorithm of SVM and HOG Adaboost algorithm and particle swarm algorithm of neural networks in three classifier model to simulate the human face recognition, statistical recognition to the number of people, and compare the stand or fall of each classifier model.In facial recognition technology of strong practicality and advanced at the same time, by comparing with each other, more intuitive presents the optimization direction of facial recognition technology and the starting point.