Jurnal Teknik Elektro Uniba (JTE Uniba)
Vol. 4 No. 1 (2019): Vol 4 No 1 (2019): JTE UNIBA (Jurnal Teknik Elektro Uniba)

Identifikasi Wajah Dengan Segmentasi Warna Kulit Menggunakan Metode Viola Jones

andi asni b (Unknown)
Tamara Octa Dana (Teknik Elektro,Fakultas Teknologi Industri Universitas Balikpapan)



Article Info

Publish Date
06 Jun 2019

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.

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Journal Info

Abbrev

JTE

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering

Description

JTE UNIBA (Jurnal Teknik Elektro UNIBA) E-ISSN 2549-0842 dan 2528-6498 (media cetak), adalah jurnal ilmiah yang mempublikasikan hasil penelitian di bidang inovasi teknologi terapan dengan cakupan: Teknik Mesin, Teknik Elektro, Teknik Elektronika, teknik Kontrol dan Instrumentasi ,Teknik Informatika, ...