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dc.contributor.authorOkila, Nixson
dc.date.accessioned2018-10-08T19:53:36Z
dc.date.available2018-10-08T19:53:36Z
dc.date.issued2014-03
dc.identifier.urihttp://hdl.handle.net/10570/6571
dc.descriptionA project report submitted to the School of Graduate Studies for the study leading to the award of the Degree of Master of Science in Computer Science Makerere University.en_US
dc.description.abstractAs a way to reduce identification document forgery and impersonation during a university examinations, there is need for a system which can retrieve the current student’s registration details from a database and recognise the student’s face automatically. Currently, student’s face recognition and examination permit verification are done manually and by “eye” making it very difficult for examination invigilators to authenticate the student. In this study, an online Android application has been developed which can: decode the student number from a Quick Response (QR) code and use it to retrieve the student’s details from a database through a server, and recognise the student’s face by matching the keypoints of the camera face image with the database face image using OpenCV ORB Feature Detector Algorithm. Server and database have been desigined and integrated with the Android application to form a networked verification system.en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectOnline Android applicationen_US
dc.subjectIdentification document forgeryen_US
dc.titleOnline verification of Makerere University student’s examination permitsen_US
dc.typeThesis/Dissertation (Masters)en_US


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