Open AccessComprehensive Analysis of Machine Learning Algorithms for Face Detection
Author(s) -
Bhavana,
V. Jagan Naveen,
K. Krishna Kishore
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j9542.0881019
Subject(s) - computer science , face detection , haar like features , artificial intelligence , algorithm , machine learning , histogram of oriented gradients , facial recognition system , classifier (uml) , histogram , artificial neural network , face (sociological concept) , pattern recognition (psychology) , image (mathematics) , social science , sociology
Face detection is the most common application used in security system, cameras, fun face filter apps, etc. many techniques and algorithms are introduced by developers for face detection in real time but all techniques or algorithms does not give best results while applying on all ranges of processors. In this, three machine learning algorithms i.e. Histogram of Oriented Gradient, Haar cascade classifier and deep neural networks implemented on different processors for verifying processing speed of each algorithm on the different processor.