Abstract
The enhancement of current face recognition system used in attendance system is proposed to fulfill the motivations for this project which are to encounter the shortcomings from the existing systems, to put an innovation into the existing system and to make the system smarter by using real-time functionality. There are three objectives in this project which are to make the system able to differentiate between real face and a photo, to make the system works on desired speed and important key is to make a user-friendly system in term of its interface and functions. Techniques that will be used to achieve the objectives are by using average standard deviation of depth or pulse magnification, using JAVA programming language and develop using simple and standard user interface components and functions. At the end, this system is expected to fulfill the objectives stated and can encounter the problem arise in existing system. As the conclusion, there is no perfect system and still need to be enhanced from time to time.
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The authors wish to thank Universiti Sains Malaysia for the support it has extended in the completion of the present research through Short Term University Grant No: 304/PKOMP/6313259.
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Sukri, S.S., Ruhaiyem, N.I.R., Mohamed, A.S.A. (2017). Face Recognition with Real Time Eye Lid Movement Detection. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2017. Lecture Notes in Computer Science(), vol 10645. Springer, Cham. https://doi.org/10.1007/978-3-319-70010-6_33
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