Open AccessFace Recognition and Database Management System for Event Participant Authentication
Author(s) -
R S Hariharan,
Reema Agarwal,
Madhurya Kandamuru,
P. Ashwath
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1916/1/012021
Subject(s) - authentication (law) , computer science , event (particle physics) , facial recognition system , identification (biology) , database , key (lock) , face (sociological concept) , computer security , artificial intelligence , pattern recognition (psychology) , botany , biology , social science , physics , quantum mechanics , sociology
Physical uniqueness among each and every individual is the key factor for their identification. This paper discusses an Event participant authentication system that uses face recognition technology to facilitate the management of events conducted by organizations. The system identifies and authenticates participants in less time and eliminates organizers’ involvement. It uses database management to maintain the records of participants successfully registered for an event along with their images stored in the database. With high speed and accuracy, the facial recognition system will find out if a person is registered and authenticated to participate in an event or not. Also, the system ensures that the participant’s details are correct, and more number of participant’s verification does not delay the event unlike when the manual verification is performed using an excel sheet or E-mail validation.