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All Journal KOMPUTIKA - Jurnal Sistem Komputer
Irfan Maliki
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Pengenalan Ekspresi Wajah dengan Metode Viola Jones dan Convolutional Neural Network Reza Rizki Reynaldo; Irfan Maliki
Komputika : Jurnal Sistem Komputer Vol 10 No 1 (2021): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v10i1.4119

Abstract

Currently, the use of artificial intelligence is growing rapidly, including being used to recognize human facial expressions. Human facial expressions have a complex recognition rate. In this study, deep learning will be applied to find out how much accuracy the recognition of facial expressions. The method used in this study is a combination of Viola Jones and Convolutional Neural Network. Viola Jones is used at the segmentation stage and Convolutional Neural Network to classify data. The facial expression dataset that was analyzed consisted of happiness, anger, disgust, sadness, fear, surprise and normal totaling 2205 data. Tests conducted using a conffusion matrix with an accuracy rate of 96.14%. The results of this test indicate that the proposed method has good accuracy for recognizing facial expressions.
Co-Authors Reza Rizki Reynaldo