Abstract
The human face contains various features and characteristics, which is not unique for two humans. Each human has different identity. Face recognition is an identification system that uses the characteristics of a person’s face to obtain the person's identity . The human face recognition process consists of two stages: face detection, here the camera detects that there is a face in front of it; this process is rapid in humans and the next is recognizing or identifying that face among a group of people. The recognition stage is mostly worked upon to develop models for facial recognitions. This paper presents a new method used to detect and recognize the face in real-time environment using Raspberry Pi and Python. The system uses a camera that will be able to detect the human face, auto counter and log into the system. A single portal is used for a human’s data Entry and Exit. These Entry and Exit functions are triggered by GUI. The information of the members are stored in a Spreadsheets are used in this paper. In this paper LBP histograms is used for face recognition and a modified algorithm of Haar’s Cascades is used for face detection..
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 callMore From: International Journal For Multidisciplinary Research
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.
