Open AccessFace Recognition based on Convolutional Neural Network
Author(s) -
Surya Prasada Rao Borra,
N. Pradeep,
Nidhin Raju,
S. Vineel,
V. Karteek
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.d6658.049420
Subject(s) - computer science , convolutional neural network , artificial intelligence , facial recognition system , pattern recognition (psychology) , face detection , classifier (uml) , three dimensional face recognition , neocognitron , feature extraction , face (sociological concept) , deep learning , cognitive neuroscience of visual object recognition , biometrics , object class detection , computer vision , artificial neural network , time delay neural network , social science , sociology
Recognition holds great significance to give biometric authentications that are utilized in various applications particularly in attendance and security. A gathered database of the subjects is converted applying image processing methods to make this task. This paper suggests a cascade object detector based face detection and convolutional neural network alexnet based face recognition that can recognize the faces. The techniques used for face recognition are machine learning-based methods because of their great precision as associated with different methods. Face detection is the initial level before face recognition that is done utilizing a cascade object detector classifier. Face recognition is performed utilizing Deep Learning's sub-field that is Convolutional Neural Network (CNN). It is a multi-layer network which is used to train the network, to perform a particular task using classification. Check learning of a trained CNN model that is AlexNet is used for face recognition.