Android Phone Identity Authentication Technology Researth Based On Palmprint Identification

With the development of information technology and network technology,the confidentiality and the security of the system are concerned widely.The biometric authentication technology is more protective and security than the traditional password authentication.In recent years,the palmprint recognition is a more popular kind of biometric technology.Palmprint has information richness,uniqueness,low-resolution,stability and reliability,which can be suitable for image recognition of the mobile telephone photo.However,at present,mobile phone photographing on complex background pictures of the palmprint image preprocessing in the early period and fast recognition algorithm research is less.In order to meet the needs of mobile security management,carrying out the relevant pahnprint recognition research is of great significance.The main research contents of this paper are as follows:1.Analysing the android mobile phone image processing performance,the MVC pattern is used to develop the system.Open Computer Vision Opencv be combined with the development environment of android.The way of java API is called,it can achieve a goal of rapid processing image.2.The difference between palmprint images are collected through Android Smartphone and the palmprint images are collected though traditional acquisition methods are analyzed,splitting the palm methods are determined,and they are used to split the palmprint images which are collected under the complex background.An improved valley point positioning method is determined with analyzing of the traditional methods which are used to detect the valley points.In the end,ROI image(128*128)is extracted.The dissection algorithms which have achieved good results were validated in this paper.3.Analyzing of the existing palmprint recognition algorithm,the method of PC A(based on principal component analysis algorithm)was selected to develop to the system,it is suitable for Android phones whose configuration is low-end and computing power is weak.In order to reduce the calculation and improve the recognition rate before extracting features,the method conducts the grey scale processing,downscaling,histogram equalization.Finally,the algorithm is validated on the Android mobile phone.4.In this paper,the most adjacent classifier was used as a classification method.Finally,an android mobile phone identity authentication system based on palmprint recognition was developed on the Android system.Implementation method:the palmprint images are collected using the Android mobile phones with cameras,segmenting palmprint image of the complicated background,key point positioning,rotating,locating the key points,extracting the interested area(ROI),extracting the features and identifying,entering into the private address-book management system if palmprint certification was right.After testing,the system has achieved good effect,and it can be satisfied with real-time's demands of Android mobile.