基于Python人脸识别系统

广东东软学院本科毕业设计（论文）AbstractWith the rapid development of science and technology,artificialintelligence is more and more popular in human life.As the currently mostconcerned method of biometrics recognition,face recognition has greatapplication prospects in the fields of time and attendance,border inspection,security,transportation,etc.It is one of the research hotspots in the field ofartificial intelligence and computer vision.This paper is a face recognitionsystem based on python.It use keras to build a convolutional neural networkto construct an 18-layer structure recognition model to realize functions suchas face input,image processing,model training,and face recognition.Itmainly describes two modules of image processing and model building.Image processing includes knowledge such as image size adjustment anddata normalization,and model building includes model establishment,training,and evaluation.The final recognition accuracy reached 99.6%.Key words:Face recognition Image preprocessing Model training CNN