|A 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.
|As 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.
|Online Android application
|Identification document forgery
|Online verification of Makerere University student’s examination permits