Paper Title
AN EXPERIMENTAL WORK ON FACE RECOGNITION SYSTEM

Abstract
In facial recognition, algorithms and machine learning techniques are used to detect and identify human faces. In most cases, the system consists of three steps: face detection, feature extraction, and matching/recognition. In a wide range of industries, facial recognition offers a powerful and non-invasive method of identification and verification, but it must be implemented responsibly to address data security concerns. This paper provides an experimental work on facial recognition system using web camwith the use of deep learning model, LBPH (Local Binary Pattern Histogram) algorithm and Haar Cascade classifier. It capture live video using web cam and from this video it recognize multiple faces and give appropriate pre defined label to that captured faces. Keyword - Face Recognition System; Local Binary Patterns Histogram (LBPH) algorithm; Haar Cascade classifier; deep learning model; machine learning libraries