Open AccessA Survey of Face Recognition based on Convolutional Neural Network
Author(s) -
Raymond Erz Saragih,
Quynh Huong To
Publication year - 2022
Publication title -
indonesian journal of information systems
Language(s) - English
Resource type - Journals
eISSN - 2623-0119
pISSN - 2623-2308
DOI - 10.24002/ijis.v4i2.5439
Subject(s) - convolutional neural network , facial recognition system , computer science , artificial intelligence , neocognitron , pattern recognition (psychology) , face (sociological concept) , deep learning , field (mathematics) , artificial neural network , three dimensional face recognition , machine learning , time delay neural network , face detection , social science , mathematics , sociology , pure mathematics
Face recognition is one of the interesting research topics in the field of computer vision. In recent years, deep learning methods, especially the Convolutional Neural Network, have progressed. One of the successes of CNN is in face recognition. Face recognition by computer is a technique done so that the computer can automatically recognize faces in an image. Various researchers have conducted related research on facial recognition. This survey presents researches related to face recognition based on Convolutional Neural Network that has been conducted. The studies used are studies that have been published in the last five years. It was performed to determine the renewal that emerged in face recognition based on Convolutional Neural Network. The basic theory of the Convolutional Neural Network, face recognition, and description of the database used in various researches are also discussed. Hopefully, this survey can provide additional knowledge regarding face recognition based on the Convolutional Neural Network.