Open AccessFace Recognition and Identification using Deep Learning Approach
Author(s) -
KH Teoh,
Rizalafande Che Ismail,
Szm Naziri,
Razaidi Hussin,
Mnm Isa,
Mssm Basir
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1755/1/012006
Subject(s) - facial recognition system , computer science , artificial intelligence , three dimensional face recognition , face recognition grand challenge , biometrics , object class detection , face detection , face (sociological concept) , identification (biology) , 3d single object recognition , pattern recognition (psychology) , deep learning , python (programming language) , computer vision , feature extraction , cognitive neuroscience of visual object recognition , social science , botany , sociology , biology , operating system
Human face is the significant characteristic to identify a person. Everyone has their own unique face even for twins. Thus, a face recognition and identification are required to distinguish each other. A face recognition system is the verification system to find a person’s identity through biometric method. Face recognition has become a popular method nowadays in many applications such as phone unlock system, criminal identification and even home security system. This system is more secure as it does not need any dependencies such as key and card but only facial image is needed. Generally, human recognition system involves 2 phases which are face detection and face identification. This paper describes the concept on how to design and develop a face recognition system through deep learning using OpenCV in python. Deep learning is an approach to perform the face recognition and seems to be an adequate method to carry out face recognition due to its high accuracy. Experimental results are provided to demonstrate the accuracy of the proposed face recognition system.