Facial Recognition with Computer Vision
Lecture Notes on Data Engineering and Communications Technologies
; 132:313-330, 2022.
Article
in English
| Scopus | ID: covidwho-1990585
ABSTRACT
The cutting-edge age of innovation has developed at high speed to make our lives quiet. The progression in security administrations of the advanced world has prompted the working of frameworks and gadgets all the more effectively and precisely by giving the greatest to most extreme wellbeing and security. The significant method of getting our frameworks and gadgets is passwords or passphrases however this has a few bugs which can undoubtedly be broken or hacked, this prompted the appropriation of further developed procedures, i.e., biometric finger impression scanner, this gives sufficient measure of safety to frameworks like opening the telephone and section in schools or workplaces. In any case, examining the current situation of this gigantic pandemic Covid-19, some control is needed for the protection of individuals which advances touchless registration into workplaces, schools, and universities. This examination paper denotes the use of Computer Vision innovation by carrying out python programming language and its libraries. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Face recognition; Haar-cascade classifiers; Local binary patterns histogram; Classification (of information); Computer programming; Current situation; Cutting edges; Facial recognition; Haar cascade classifiers; High Speed; Local binary pattern histogram; Local binary patterns; Passphrases; Security administration; Wellbeing; Local binary pattern
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Lecture Notes on Data Engineering and Communications Technologies
Year:
2022
Document Type:
Article
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