| With the rise of mobile payment,social applications and online shopping and other mobile Internet businesses,the traditional user name and password and the authentication method of mobile phone verification code are easy to steal,easy to lose,easy to forget and so on,which is not sufficient to protect users' property and privacy.At present,the technology of using facial recognition for identity authentication on the mobile phone has become a hot research topic,and face image detection on the mobile phone is a key technology link.The main work of this thesis is as follows:(1)Analyzes and summarizes the current situation of mobile Internet mobile phone.The methods of face image detection based on knowledge rules,invariant features,template matching and statistical models,as well as the classic algorithms of face image detection such as AdaBoost,neural network and support vector machines are summarized.(2)Design for mobile scene improved Adaboost mobile phone users face detection algorithm,including mobile terminal users face image detection based on Adaboost training classification,based on the reference white cell phone users face single channel image illumination compensation and mobile terminal users face image detection speed optimization and other image processing methods.(3)Design for mobile Internet android mobile terminal real-time face detection and recognition system.Firstly,the overall architecture of the system is designed.Secondly,the face image detection algorithm of mobile phone users is combined to design the android mobile phone end face image detection.Thirdly,the android mobile phone terminal face image acquisition registration was designed.Finally,the data interaction between network server and mobile Internet android mobile phone is designed,and the face recognition of network server is designed based on this data interaction.(4)Test mobile Internet android mobile phone terminal real-time face detection and recognition system.After building the development environment,android mobile phone terminal face image detection is realized and tested through programming.Through programming to implement the android phone and web server data interaction,and interact through data registration,implement and test the human face image collection system login module,network server data access and face recognition.(5)Research multi-source biometric real-time identity authentication system for mobile Internet terminals.In view of the insufficiency of current mobile terminal identity authentication system,mobile phone users face detection algorithm based on the article,the mobile phones multi-source biometric testing and multi-source biometric authentication is researched. |
