The Design and Development of Student’s Class Attending Monitoring System using Face Recognition Technique with LBPH
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Abstract
This research present the design and development of student’s class attending monitoring system using face recognition technique with local binary pattern histograms recognition: LBPH studied a concepts, principles and theories that related to face recognition. It will be useful to check-in all the student’s class attending and also to use the modern technology to register for classroom attendance. In this research, the effectiveness of the student's face recognition with LBPH system was divided into two parts. Firstly, in the term of comparison between the students’ face images with the database images. It began with recording the 100 images of student’s faces. Then these images were pass through to pre-processing to create a database of student's faces. The another set image of different acting face of same students such as look
front image, smilingly image, look left image, look right image, look down image and look up
image was compared with those database. The experiment results shown that the system gave
the recognition and identify student accuracy as 96%. Secondly, in the term using the real-time
face images (registration images), the registration images were created using the face recognition
images system. The experiment results shown that, in the case of random 100 face images per a
student gave the best recognition performance accuracy as 92%. Also, this designed system can
view historical record data and transfer it to be document file and can be applied to the time of
employees in the organization.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in Journal of Industrial Technology Ubon Ratchathani Rajabhat University both hard copy and electronically are belonged to the Journal.
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