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Tamara Octa Dana
Teknik Elektro,Fakultas Teknologi Industri Universitas Balikpapan
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering

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Identifikasi Wajah Dengan Segmentasi Warna Kulit Menggunakan Metode Viola Jones andi asni b; Tamara Octa Dana
Jurnal Teknik Elektro Uniba (JTE UNIBA) Vol. 4 No. 1 (2019): Vol 4 No 1 (2019): JTE UNIBA (Jurnal Teknik Elektro Uniba)
Publisher : Lembaga Penelitian Universitas Balikpapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1045.366 KB) | DOI: 10.36277/jteuniba.v4i1.47

Abstract

Abstract - Face detection (face detection) is one of the initial steps that is very important before the face recognition process (face recognition). Face detection is the detection of objects in the form of faces in which there are special features that represent the shape of faces in general. One method of face detection is the Viola Jones method. Viola Jones method is used to detect faces and skin color segmentation, test data processing using Matlab and capture on a Smartphone. The test is carried out at normal light intensity with a predetermined distance and face position. The results of this study indicate the level of accuracy of detection of face image variations in the position of face images facing forward (frontal), sideways left and right 45̊. But it has a weakness of this face detection system that is unable to determine faces in images that have faces that are not upright (tilted) or not frontal (facing sideways) at a 90̊ angle. Face position that is upright / not upright will determine the success of this face detection. The level of identification of the Viola Jones simulation was 100% with 4 images consisting of 3 boys and 1 girl.
Co-Authors a asni b