Face Recognition

Abstract

Over the last ten years or so, face recognition has become a popular area of research in computer vision and one of the most successful applications of image analysis and understanding. A general statement of the face recognition problem can be formulated as follows: given still or video images of a scene, identify or verify one or more persons in the scene using a stored database of faces. In this thesis, we are working with a biometric problem which is able to recognize a person’s face who wants to access to the communication laboratory. An IP camera shall be used for the monitoring purposes, capturing images and do some functionalities. During the process of capturing images, a person‘s face would be detected and recognized and then the door will be opened automatically in whichever he/she is permitted to go inside the room. Firstly the algorithm was implemented in MATLAB. Once the algorithm is verified by MATLAB, the full system was rewritten in C# which is able to be applied for real time. Finally, our system can achieve 100% of detection rate and 76% of recognition rate with 2% of miss – recognition cases.