Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/3175
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dc.contributor.advisorAbche, Antoineen_US
dc.contributor.authorYammine, Graceen_US
dc.contributor.authorIshak, Danyen_US
dc.date.accessioned2020-12-23T14:34:02Z-
dc.date.available2020-12-23T14:34:02Z-
dc.date.issued2013-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/3175-
dc.descriptionIncludes bibliographical references (p.60-61).en_US
dc.descriptionSupervised by Dr. Antoine Abche.en_US
dc.description.abstractNowadays, 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.en_US
dc.description.statementofresponsibilityBy Grace Yammine, Dany Ishaken_US
dc.format.extentix, 64 p. :ill.,tables ;30 cmen_US
dc.language.isoengen_US
dc.rightsThis 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 holderen_US
dc.subject.lcshHuman face recognition (Computer science)en_US
dc.subject.lcshBiometric identificationen_US
dc.titleA face recognition systemen_US
dc.typeProjecten_US
dc.contributor.departmentDepartment of Computer Engineeringen_US
dc.contributor.facultyFaculty of Engineeringen_US
dc.contributor.institutionUniversity of Balamanden_US
dc.date.catalogued2013-02-28-
dc.description.degreeMS in Computer Engineeringen_US
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=http://olib.balamand.edu.lb/projects_and_theses/GP-CoE-75.pdfen_US
dc.identifier.OlibID132283-
dc.provenance.recordsourceOliben_US
Appears in Collections:UOB Theses and Projects
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