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Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/3360
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dc.contributor.advisorDagher, Issamen_US
dc.contributor.authorSallak, Nour Elen_US
dc.contributor.authorHazim, Hanien_US
dc.date.accessioned2020-12-23T14:35:25Z-
dc.date.available2020-12-23T14:35:25Z-
dc.date.issued2013-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/3360-
dc.descriptionIncludes bibliographical references (p.27-28).en_US
dc.descriptionSupervised by Dr. Issam Dagher.en_US
dc.description.abstractIn this project, face recognition using the most SIFT representative images is presented. It is based on obtaining the SIFT features in different regions of each training image using the K-means algorithm. Based on these features, the most representative images of each face are obtained. A test image is recognized according to those representative images. The matching technique used is presented. This algorithm is compared to other algorithms for different database.en_US
dc.description.statementofresponsibilityBy Nour El Sallak, Hani Hazimen_US
dc.format.extentviii, 28 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.titleFace recognition using the SIFT most representative imagesen_US
dc.typeProjecten_US
dc.contributor.departmentDepartment of Electrical Engineeringen_US
dc.contributor.facultyFaculty of Engineeringen_US
dc.contributor.institutionUniversity of Balamanden_US
dc.date.catalogued2013-02-28-
dc.description.degreeMS in Electrical Engineeringen_US
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=http://olib.balamand.edu.lb/projects_and_theses/GP-EE-135.pdfen_US
dc.identifier.OlibID132266-
dc.provenance.recordsourceOliben_US
Appears in Collections:UOB Theses and Projects
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