FACE RECOGNITION IN ATTENDANCE MANAGEMENT SYSTEMS
Journal: International Journal of Computer Engineering and Technology (IJCET) (Vol.11, No. 03)Publication Date: 2020-03-31
Authors : Shobhakumar S Vijay Krishnaa S;
Page : 31-38
Keywords : Face Recognition; Convolutional Neural Networks; RTSP; Haar Cascade Algorithm;
Abstract
Face recognition is one of the important measures to scale image analysis and computer vision. The basic methods of recognizing a person has outdated and face recognition is one of the most effective ways to recognize a person. Security cameras are located in public places like airports, Offices, University, ATM, Bank and in any locations with a security system. The basic functionality face recognition is to detect and recognize the biometric of a person (I.e iris).The main functionality is used for security systems and companies. The process involves extraction of its features and then recognizing the iris, regardless of external factors and transformations (translate, rotate and scale image).This project specifically signifies the use of facerecognition for the purpose of monitoring the employees and students of different schools and workplaces.
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Last modified: 2021-03-03 15:44:11