Open AccessFace Detection System with Face Recognition
Author(s) -
Prof. Anup Bhange
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.39976
Subject(s) - object class detection , three dimensional face recognition , face detection , computer science , artificial intelligence , facial recognition system , biometrics , face recognition grand challenge , computer vision , classifier (uml) , 3d single object recognition , viola–jones object detection framework , pattern recognition (psychology) , face (sociological concept) , cognitive neuroscience of visual object recognition , feature extraction , social science , sociology
The face is one of the easiest way to distinguish the individual identity of each other. Face recognition is a personal identification system that uses personal characteristics of a person to identify the person's identity. Now a days Human Face Detection and Recognition become a major field of interest in current research because there is no deterministic algorithm to find faces in a given image. Human face recognition procedure basically consists of two phases, namely face detection, where this process takes place very rapidly in humans, except under conditions where the object is located at a short distance away, the next is recognition, which recognize (by comparing face with picture or either with image captured through webcam) a face as an individual. In face detection and recognition technology, it is mainly introduced from the OpenCV method. Face recognition is one of the much-studied biometrics technology and developed by experts. The area of this project face detection system with face recognition is Image processing. The software requirement for this project is Python. Keywords: face detection, face recognition, cascade_classifier, LBPH.