Abstract
Attendance is important for university students. However, generic way of taking attendance in universities may include various problems. Hence, a face recognition system for attendance taking is one way to combat the problem. This paper will present an automated system that will automatically saves student’s attendance into the database using face recognition method. The paper will elaborate on student attendance system, image processing, face detection and face recognition. The face detection part will be done by using viola-jones algorithm method while the face recognition part will be carried on by using local binary pattern (LBP) method. The system will ensure that the attendance taking process will be faster and more accurate.
Highlights
In today’s world, attendance taking is essential
In order to automatically take student’s attendance, there are technologies that are readily built such as Barcode Readers, Radio Frequency Identification System (RFID) and Bluetooth
ATTENDANCE SYSTEM The word student can be defined as “a person who is studying at a school, college, or university”
Summary
In today’s world, attendance taking is essential. Attendance would be counted as a part of student’s mark in most universities. In order to automatically take student’s attendance, there are technologies that are readily built such as Barcode Readers, Radio Frequency Identification System (RFID) and Bluetooth Even though these technologies may help to reduce the time taken for the attendance to be taken, it requires machine and devices that are expensive and have limited usage as the device is broken [3]. This study is advantageous since it non–invasively identify rhesus macaques in videos to find out their group and lastly, there is an application software called Doggelgangger [9] that is developed to compare and match a canine with their possible human parents This application shows that face recognition can be used in various applications
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