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open-access-imgOpen AccessCelebrity Face Recognition using Deep Learning
Nur Mohamad Kasim,
Nur Adilah Abd Rahman,
Zaidah Ibrahim,
Nur Nabilah Abu Mangshor
Publication year2018
Publication title
indonesian journal of electrical engineering and computer science
Resource typeJournals
PublisherInstitute of Advanced Engineering and Science (IAES)
Face recognition is one of the well studied problems by researchers in computer visions.  Among the challenges of this task are the occurrence of different facial expressions like happy or sad, and different views of the images such as front and side views.  This paper experiments a publicly available dataset that consists of 200,000 images of celebrity faces. Deep Learning technique is gaining its popularity in computer vision and this paper applies this technique for face recognition problem.  One of the techniques under deep learning is Convolutional Neural Network (CNN).  There is also pre-trained CNN models that are AlexNet and GoogLeNet, which produce excellent accuracy results.  The experimental results indicate that AlexNet is better than basic CNN and GoogLeNet for face recognition.
Subject(s)artificial intelligence , computer science , computer vision , convolutional neural network , deep learning , economics , face (sociological concept) , face detection , facial recognition system , management , pattern recognition (psychology) , philosophy , popularity , psychology , social psychology , social science , sociology , task (project management) , theology , vision
SCImago Journal Rank0.241

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