AUTOMATIC EXAM ATTENDANCE SYSTEM BASED ON ILLUMINATION INVARIANT FACE RECOGNITION

Year 2015, Volume: 2 , 139 - 143, 01.09.2015

Burçin Özmen Kamil Yurtkan

Abstract

Security
systems are used in several ways. In the developing technology, the computer
systems are employed to solve different kinds of problems whereas they can be
also used for security purposes. Application of the computer-aided security
systems are one of the applicable technologies today especially in the crowded
places such as entrance gates where high security measure is requested. On the
other hand, automatic face recognition is useful in the applications where the
recognition of the authorized people should be completed in a limited time. An
application, that is the identification of the
students for exam security is one of the important issues in universities where
crowded exams take place. Unidentified people other than one's own examinations
can be defined as problematic in terms of exam assessment. The paper
proposes a new automatic class attendance system based on illumination invariant
face recognition. System consists of three stages which are the face detection,
facial feature extraction and classification. A known method will be employed
for face detection part. For the facial feature extraction stage, non-subsampled Contourlet transform is used. The
classification is done by the use of a known method which is the correlation
coefficient. The system is currently under test and expected to run at
acceptable recognition rates to be used in an automatic class attendance
system.

Keywords

Automatic attendance, face recognition, non-subsampled contourlet transform (NSCT), exam security, student authorization

References

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