Open AccessFace Detection with Machine Learning and Open CV Classifier
Publication year - 2020
Publication title -
journal of science and technolgy
Language(s) - English
Resource type - Journals
ISSN - 2456-5660
DOI - 10.46243/jst.2020.v5.i6.pp100-106
Subject(s) - face detection , artificial intelligence , computer science , object class detection , cascading classifiers , classifier (uml) , haar like features , computer vision , three dimensional face recognition , facial recognition system , face recognition grand challenge , viola–jones object detection framework , python (programming language) , pattern recognition (psychology) , random subspace method , operating system
In the last few years, face recognitions owned considerable consideration and liked together of theforemost used functions within the area of image evaluation and recognition. Face detection reflects onconsideration of an incredible section of face attention operations. The technique of face detection in pixels iselaborate with many features’ variabilities provided throughout human faces. Faces include pose, expression, smile,role and orientation, pores and complexion, the presence of glasses or facial hair, variations in digicam gain,lighting conditions, and photo resolutions. Haar Cascade classifier is of outstanding assist when performing thisundertaking smoothly. Face detection goes to possess a dramatic impression on the face detection field, as a result,familiarizing yourself with its functions like attendance recording system with the help of camera, Mask detectionsystem.In this paper, we proposed a face detection system for the utilization of computer learning, especially OpenCV. Themandatory step required is face detection which we did with the usage of a broadly used step referred to as thehaarcascade_frontalface_default classifier, python and its module.