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The Research And Application Of Face Recognition Technology In The Non-Invigilation Exam System

Posted on:2008-05-03Degree:MasterType:Thesis
Country:ChinaCandidate:D X WangFull Text:PDF
GTID:2178360242970584Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
The face recognition by computer is a hotspot and difficulty nowadays. This paper develops a non-invigilation exam system based on face recognition and VC++ platform. First, this system collects the examinee's front face image of different orientations from three USB cameras in real time. Detect the face area from the images and then locate the geometry position of eyes. At last, reduce the dimension of the image through face feature extraction to conform the face. The experimental result shows that this method is simple to realize, accurate to locate the eyes' position and has high recognition ratio. With the advantages mentioned above, it is fit with the non-invigilation exam system.This system includes video capture module, the face detect module, the feature extraction module and the face recognition module. Firstly, this paper introduces some typical methods of face detection and face recognition, and analyzes their merits and demerits. Then the paper researches the realization of every module.The video capture is using the VFW (Video For Windows) data video software package which is provided by the Microsoft development tool VC++. It could aquire data video signal flexibly from simulation video signal, and save images to file as BMP format for the later processing. During the face detection, the paper first preprocesses the gray of the collected images by histogram to make them clear. Then distinguish the face area from background area by the complexion module. Last, locate the eyes' geometry position based on the theory that the eyes have the maximum complexity on the face, and the nose's position could be acquired easily from the position of the eyes.Usually, the space dimension of the image is high. In order to reduce the dimension, this paper particularly introduces and uses the Fourier transform. Through the transform to extract the feature of the detected eyes and nose, the dimension is reduced greatly. The reduction of the calculation complex make it fit for the real time system. At last, examinee face could be conformed through calculating the geometry relation of eigenvector in the space.This paper finally completes a real time non-invigilation exam system, and analyzes the system capability by the experimental result. It proves that this system has rapid running time and high recognition ratio. And it has a thick skin to the change face and good practicability.
Keywords/Search Tags:video capture, face detect, feature extraction, face recognition
PDF Full Text Request
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