Face Recognition for Surveillance Systems using SRGAN

Abstract- In this current era, surveillance systems
are being installed in all crucial places such as banks,
malls, houses and many such places. The main reason
for this is security and to achieve this crucial objective,
face recognition becomes important. Face recognition
is an important factor which becomes one of the
factors for growth in technologies such as Computer
Vision, Pattern Matching and Artificial Neural
Networks. Face recognition has been a major
challenge in the field of computer vision since it has to
encounter a series of implementations for successful
execution of identifying a particular face in the video
from a surveillance camera. There are many factors
such as light conditions, facial expressions and poor
quality of the surveillance device, that affect the
implementation of recognizing a face from the image
or the video captured by a surveillance system. Hence
the images recorded in such conditions require special
attention and hence need to be enhanced for better
results. The aim of the paper is to provide various
methods to provide an efficient facial recognition
method with minimal cost and high efficiency.
Keywords : Face identification/recognition,
surveillance system, computer vision,Pattern Matching