Research Article
A Deep Learning based Approach for the Recognition of Facial Identity and Expression
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 184 - Issue 38 |
| Published: Dec 2022 |
| Authors: Dheeraj Kumar, Vaitheki K., Suresh Joseph K., Prasiddha Sarma |
10.5120/ijca2022922466
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Dheeraj Kumar, Vaitheki K., Suresh Joseph K., Prasiddha Sarma . A Deep Learning based Approach for the Recognition of Facial Identity and Expression. International Journal of Computer Applications. 184, 38 (Dec 2022), 19-23. DOI=10.5120/ijca2022922466
@article{ 10.5120/ijca2022922466,
author = { Dheeraj Kumar,Vaitheki K.,Suresh Joseph K.,Prasiddha Sarma },
title = { A Deep Learning based Approach for the Recognition of Facial Identity and Expression },
journal = { International Journal of Computer Applications },
year = { 2022 },
volume = { 184 },
number = { 38 },
pages = { 19-23 },
doi = { 10.5120/ijca2022922466 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2022
%A Dheeraj Kumar
%A Vaitheki K.
%A Suresh Joseph K.
%A Prasiddha Sarma
%T A Deep Learning based Approach for the Recognition of Facial Identity and Expression%T
%J International Journal of Computer Applications
%V 184
%N 38
%P 19-23
%R 10.5120/ijca2022922466
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This work aims to recognize human facial expressions and along with that it tries to incorporate the recognition of the person from the old data which were fed into the system earlier. The developed system uses the bounding box regression technique to perform the object localization task. Various instances from seven types of expressions can be detected using the developed system. From the real-time pictures/videos, the module can identify any of the instances of seven expressions and the person’s facial identity simultaneously. The proposed system has been tested across various natural environments and it did perform well in most of the scenarios..
References
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