Abstract
This research study presents an automated real-time background face recognition system for a large dataset of human faces. This is very difficult because background subtraction is still an issue in live images. Addition to this there are huge features in human face image in terms of eye, nose, head, lip, etc. The proposed system simplifies many of the facial recognition features. It utilizes AdaBoost with cascade to detect human faces in real-time. The matched face is then used to Identify a person. The real-time security and automation system is based on human face recognition, and it uses a simple and fast algorithm that achieves high accuracy. We have accuracy of 92% by using Adaboost Algorithm.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
