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All Journal Indonesian Journal of Physics (IJP)

Deni Kartika

Electronics and Instrumentation Laboratory, Theoretical High Energy Physics and Instrumentation Research Group, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jl. Ganesha No. 10, Bandung 40132, Indonesia

Author-ID : 5730566

Astronomy Computer Science & IT Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering

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Face Detection Based On Eye-Mouth Triangular Approach Deni Kartika; Suprijadi Suprijadi
Indonesian Journal of Physics Vol 31 No 2 (2020): Vol 31 No 2 (2020)
Publisher : Institut Teknologi Bandung

Human face is a complex and dynamic structure. It is a challenge to be able to make a face recognition system like humans. At the beginning of its development, many facial recognition studies only focused on facial features. In 1991, Turk and Pentland developed a face recognition system based on Principal Component Analysis named eigenface. This system is very efficient because it only focuses on components that most affect facial image. However, this system has weaknesses, which cannot be used to determine the position of the face. In this final project, image processing methods will be carried out to detect faces in digital images. The method used is eye mouth triangular approach with the steps being taken are skin detection, eye detection, mouth detection, and facial confirmation. From the results of a hundred digital color images tested, there were 82 images that were successfully detected. The main system failure is caused by failure in skin detection. Further development is needed so that the system can work optimally.

Co-Authors Suprijadi Suprijadi Suprijadi Suprijadi

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