Open AccessRecognition of Masked Face Using Convolutional Neural Network Algorithm
Author(s) -
Sai Kiruthika K. M
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.37051
Subject(s) - computer science , artificial intelligence , convolutional neural network , face (sociological concept) , facial recognition system , deep learning , computer vision , context (archaeology) , forehead , guard (computer science) , pattern recognition (psychology) , geology , medicine , paleontology , social science , surgery , sociology , programming language
The covid -19 is an unparalleled crisis resulting in huge number of casualties security problem. So has to scale back the spread of corona virus, people often wear a mask to guard themselves. Indeed, during this challenging context, the matter of face recognition is usually like periocular recognition involving iris, pupil, sclera, upper and lower eyelids, eye folds, eye corners, skin texture, fine wrinkles, complexion, skin color, skin pores etc. In this paper, we propose a reliable method supported discard masked region and deep learning based features so as to deal with the matter of masked face recognition process. The primary step to discard the masked face region. Next, we apply deep learning algorithm to extract the simplest features from obtained regions (mostly eyes and forehead regions). This leads to good accuracy than the previous work for detecting the masked face.