A FACIAL FEATUREAS BASED STUDENT ATTENDANCE MANAGEMENT SYSTEM
Keywords:
Face detection, Face recognition, local binary pattern (LBP), and Student attendance systemAbstract
In this paper uniqueness of an individual face is the
representation of one’s identity. In this research
the face of an independent student is used for the
automatic attendance. Because, the attendance of
student is important for college, universities and
school. Face Recognition is a computer application
that is capable of detecting, tracking, identifying or
verifying human faces from an image or video
captured using a digital camera. Although lot of
progress has been made in domain of face
detection and recognition for security,
identification and attendance purpose, but still
there are issues hindering the progress to reach or
surpass human level accuracy. This research paper
presents a new method using Local Binary Pattern
(LBP) algorithm combined with advanced image
processing techniques such as Contrast
Adjustment, Bilateral Filter, Histogram
Equalization and Image Blending to address some
of the issues hampering face recognition accuracy
so as to improve the LBP codes, thus improve the
accuracy of the overall face recognition system.
Our experiment results show that our method is
very accurate, reliable and robust for face
recognition system that can be practically
implemented in real-life environment as an
automatic attendance management system.
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