The Research And Application Of Face Recognition Technology In Logins Of Futures Software

The online securities trading futures made spurt of progress in the development of China during recent years.It has the advantages of convenient, timely and comprehensive information can be obtained.It is favored by the vast number of investors.However,it is often seen that individual investor accounts are stolen by lawbreakers and unauthorized purchase or sale by online transactions.So just using the method of certificate, password and other traditional for personal identification has been far from enough.We Urgently need more security and reliable personal identification method. This paper proposes to add personal authentication methods of face recognition in the futures software login interface.This technique uses a biological characteristics of human nature.Therefore it is more safe and effective.In the field of information security,face recognition technology has been paid extensive attention,some mature products have been put into production and use.This paper firstly introduces many kinds of biometric identification technology,through the contrast explains why the use of face recognition technology,making a brief summary of the face recognition technology application in some field.And then introduces the methods of face detection, and carry on the induction and analysis.After comparison, the paper presents the design of a practical and based on skin color segmentation by coarse face detection, face detection Adaboost fine and face recognition framework is based on face recognition method based on the composition of the PCA. Firstly, based on skin color segmentation study to achieve a coarse face detection, and then realized the fine Adaboost face detection algorithm to face sample images for training and training by creating a positive and negative samples, get trained classifier and face detected. In recognition part, we study the face recognition method based on Hu moments and based on the PCA. Tried to introduce Hu moments based method to face recognition, and ultimately through experiments comparing the use of the PCA method for face recognition. Finally, the proposed recognition framework paper first applied to futures software security logins.This paper is based on OpenCV,a machine vision library developed by Intel.Using VC6.0integrated development environment,realize the development of the system based on MFC through PC.The experimental results basically achieve expected effect,realizing the targets of joining face recognition technology in future software login system.