Abstract
Abstract: Attendance management is critical for every institution; it can determine whether or not an institution, such as educational institutions, public or commercial sectors, will be successful in the future. To maximise their performance, institutions will need to keep track of people within the organisation, such as employees and pupils. Real-Time Face Recognition is a useful way for dealing with the daily attendance of a vast number of pupils. To increase face detection and recognition performance, several algorithms and strategies have been developed, however, our suggested model uses the LBPH (Local binary pattern histogram) methodology, which is implemented in Python using the OpenCV organization and employs the tinker GUI interface for user interface needs.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal for Research in Applied Science and Engineering Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.