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dc.contributor.advisorChakrabarty, Dr. Amitabha
dc.contributor.authorHaque, Md. Asiful
dc.contributor.authorSamee, Tanzeeb
dc.date.accessioned2017-05-29T04:53:00Z
dc.date.available2017-05-29T04:53:00Z
dc.date.copyright2017
dc.date.issued4/10/2017
dc.identifier.otherID 12201011
dc.identifier.otherID 12201065
dc.identifier.urihttp://hdl.handle.net/10361/8192
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 43-44).
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017.en_US
dc.description.abstractIn this paper, we are prompting to detect a particular object (human face) from multiple objects (crowd) where multiple objects are present. We will try to recognize that particular object by using two pattern recognition algorithms, Eigenfaces, Hidden Markov model. Basically the reason to use more than one algorithm or process however that’s mention is because more accuracy hence therefore with one process the results however never become absolute and perfect, therefore filtering away the results from one algorithm and make it more efficient the second algorithm may come handy. An identified way that has been most famous is using particular algorithm or process and having a full-formed Data set.en_US
dc.description.statementofresponsibilityMd. Asiful Haque
dc.description.statementofresponsibilityTanzeeb Samee
dc.format.extent44 pages
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectDynamic imageen_US
dc.subjectFacial recognitionen_US
dc.titleFacial recognition using dynamic image processingen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, BRAC University
dc.description.degreeB. Computer Science and Engineering


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