Abstract
The security of information nowadays is very significant and difficult, so there are a number of ways to improve security. Especially in public areas like airports, railway stations, Universities, ATMs, etc. and security cameras are presently common in these areas. So, in this paper, we are presenting how Facial recognition can be used in public areas like airports, toll gates, offices, etc. We are comparing or matching a face of a person who we want to detect, with the video which is recorded through CCTV. There are certain algorithms to detect faces from video like through HAAR cascades, eigenface, fisher face, etc. open-source computer vision library is used for facial recognition.
Highlights
We are using python language and using openCV library i.e Open-Source Computer Vision Library for detecting an image
The Problem with detecting faces is the location of key points on the face or what should be the match to detect the face
Like a few years back we are using some holistic methods like detecting length between the eyebrows and certain other things which are not accurate as these methods fail to detect the facial changes of the person, we are matching certain other key points which give accurate results
Summary
We are using python language and using openCV library i.e Open-Source Computer Vision Library for detecting an image. This library was started by intel in 1999 and in 2008 Willow George [22] took over support and after that openCV comes with a programming language interface i.e c, c++, python. The Problem with detecting faces is the location of key points on the face or what should be the match to detect the face. Like a few years back we are using some holistic methods like detecting length between the eyebrows and certain other things which are not accurate as these methods fail to detect the facial changes of the person, we are matching certain other key points which give accurate results. Journal of Informatics Electrical and Electronics Engineering (JIEEE) A2Z Journals
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