Face Identification Attendance System using Gabor Wavelet Method
Abstract
Most of the existing attendance systems use the current web-based application, fingerprint, card or a special tool as an identification tool. Systems with object identification have some shortcoming. The implementation of the face recognition method using Gabor wavelet (Gabor filter) in the attendance system can identify faces quickly in large number of faces and minimizes attendance fraud. The test shows that the best result is 97% correct recognition with direct direction, a camera located in front of the participant. Whereas the recommended distance between the camera and the face is 30cm with 92% of correct recognition. Lastly, the light intensity variations between 10-710 Lux percentages obtained 99% correct recognition.
All materials contained within this journal are protected by Intellectual Property Corporation of Malaysia, Copyright Act 1987 and may not be reproduced, distributed, transmitted, displayed, published, or
broadcast without the prior, express written permission of Centre for Graduate Studies, Universiti Selangor, Malaysia. You may not alter or remove any copyright or other notice from copies of this content.
