Finding Bogus Candidates in Recruitment Drives by Face Recognition

DOI

No DOI

Published In

Volume 3, Issue 5 (2022)

Published Online

September-October 2022

Pages

21-27

Article Type

Research Article

Check for updates

No DOI available for cross-reference

Abstract: Today, we use a virtual recruitment strategy, however there are multiple stages to the process. Monitoring whether a candidate is legitimate or not is quite challenging. The performance of automatic facial recognition technologies has significantly increased over the past few years, and these systems are now often utilized for security and commercial purposes. an automated system that can detect bogus candidates at various phases of the hiring process by recognizing human faces in real-time backgrounds. So using real time face recognition in real world solution which comes with day-to-day activities of handling various activities The task is extremely challenging since real-time background subtraction in an image still a challenge. Principal component analysis has been used to identify human faces quickly and simply in real-time at a rate that is very accurate. To accurately identify the user,the matching face is used. Our system keeps track of user face feature datasets and uses them for validation.