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Title: A face recognition system
Authors: Yammine, Grace
Ishak, Dany
Advisors: Abche, Antoine 
Subjects: Human face recognition (Computer science)
Biometric identification
Issue Date: 2013
Nowadays, the recognition of faces has become an important authentication mean. It is a biometric method to identify a given face using main features of the face. Many researchers have tried to make accurate and reliable face recognition systems and several methods were developed for this purpose. This project describes an approach for face recognition using the Fourier Transform and polar mapping techniques. The overall proposed approach to authenticate the face of an individual is implemented using the LabView programming language and the NI Vision Development Module. Face images from a Well-known Database are used for both training and real-time recognition purposes. The results of the developed approach are compared with some other existing approaches which are also implemented using LabView. The comparison is performed using the same images for training and testing purposes. The comparison shows that the performance of the presented face recognition approach is much better than the other techniques.
Includes bibliographical references (p.60-61).

Supervised by Dr. Antoine Abche.
Rights: This object is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the object beyond the personal and educational use exceptions must be obtained from the copyright holder
Ezproxy URL: Link to full text
Type: Project
Appears in Collections:UOB Theses and Projects

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