Paper Title

Verifying COVID-19 Vaccination Status Using Facial Recognition Technology

Authors

Dr.G.Senthilkumar , Dr.S.Hariharan , B.Maideshvar , , K.Krishnakumar , M.Muniasamy

Keywords

Keywords— Face Recognition, vaccinated Status, haar cascade, CNN, Webcam

Abstract

Facial recognition is a popular technology for personal identification that uses facial features to differentiate between individuals. It is now being utilized in COVID vaccination verification systems to identify individuals who are, partially vaccinated, fully vaccinated or not. The process of recognizing human faces involves detecting faces, where the system quickly identifies faces, followed by identification of fully vaccinated, partially vaccinated, or not vaccinated individuals. Face recognition is a highly-studied biometric technology with popular developed patterns such as the Fisher face method and Eigen face method. Principal Component Analysis (PCA) is used in the Eigen face method to reduce the dimensional space of facial features. The goal of applying PCA in face recognition is to generate an Eigen face by identifying the eigenvector that corresponds to the largest eigenvalue of the face image. This process has been replicated and improved to develop a version for detecting faces.

How To Cite

"Verifying COVID-19 Vaccination Status Using Facial Recognition Technology", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.490-496, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001077.pdf

Issue

Volume 11 Issue 2, February-2024

Pages : 490-496

Other Publication Details

Paper Reg. ID: TIJER_151060

Published Paper Id: TIJERB001077

Downloads: 000296

Research Area: Science and Technology

Country: thiruvallur ,chennai, Tamilnadu, India

Published Paper PDF: https://tijer.org/TIJER/papers/TIJERB001077

Published Paper URL: https://tijer.org/TIJER/viewpaperforall?paper=TIJERB001077

About Publisher

ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: TIJER (IJ Publication) Janvi Wave

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