System Design And Implementation Of Face Recognition Access Control Based On Embedded Technology

As science and technology advance with each passing day,biometric technology as a sunrise industry is favored by experts.Continuous research and innovation make it applicable to people's lives,adding to the modern life.At present,the face recognition technology is well developed in biometrics technology.As an emerging technology,due to its unique advantages,such as the uniqueness of the human face,it thrives,and it is of great value in many fields.With the improvement of the quality of people's lives,the requirements for access control are even higher.Therefore,a face recognition access control system is proposed.The access control system is more modern and intelligent.This paper mainly analyzes the algorithm and is divided into three parts.First: image acquisition and preprocessing.The camera collects images and performs preprocessing such as graying and noise elimination on the collected images.Second: image detection.After the camera captures the image,it needs to perform image detection.After comparative analysis,this paper proposes a method for superimposing the skin color model and AdaBoost algorithm.The principle is that the skin color model is used as a preliminary inspection to determine the approximate area of the skin color,and then AdaBoost algorithm is used for secondary detection to remove irrelevant areas and make the face orientation more accurate.Third: face recognition.After face mark,start face recognition.It divided into two steps,the first step is called face training,which is mainly to build a face database;the second step is to complete face recognition.The algorithm used is an improved PCA algorithm.The PCA algorithm can be used for positive face images.However,for some face images with large deflection,an improved PCA algorithm can be used.The improved algorithm is more adaptable and has a higher recognition rate.At the same time,the paper uses Samsung's X6818 development board,which is highly integrated,low power consumption,and choose the cost-effective camera and electronically controlled lock,using Linux as the operating system for face detection and identification.Experiments show that the system has good recognition effect,and meets people's needs to a certain extent,and has important application value.