Face Detection System using Machine Learning
Abstract
Face detection and picture or video recognition is a popular subject of research on biometricsFace recognition in a real-time setting has an exciting area and a rapidly growing challengeFramework for the use of face recognition application authentication Face is one of the mostimportant biometric features of a human A human can recognize different faces withoutdifficultyFace detection is the process of automatically locating human faces in visual media (digitalimages or video) A face that is detected is reported at a position with an associated size andorientation Once a face is detected, it can be searched for landmarks such as the eyes and noseetc.
Keywords
Full Text:
PDFReferences
. Image-based Face Detection and Recognition:
“State of the Art” from https://arxiv.org/pdf/1302.6379
. An approach to face detection and recognition from https://ieeexplore.ieee.org/document/7939462
. Study of Face Detection Algorithm for Real-time Face Detection System from https://ieeexplore.ieee.org/document/5209668
. Face Detection Techniques: A Review from https://www.researchgate.net/publication/326667118_Face_Detection_Techniques_A_Review
. Face detection from https://web.stanford.edu/class/ee368/Project_03/Project/reports/ee368group02.pdf
TofiqQuadri, Mayank Patel (2015). “Face Detection and Counting Algorithms Evaluation using OpenCV and JJIL” Review Of Business And Technology Research (RBTR), ISSN 1941-9414, Volume 12 Number 2,Page 143-146
. An improved face recognition algorithm and its application in attendance management system from https://www.sciencedirect.com/science/article/pii/S2590005619300141
DOI: https://doi.org/10.26483/ijarcs.v12i2.6760
Refbacks
- There are currently no refbacks.
Copyright (c) 2021 International Journal of Advanced Research in Computer Science

