Face Detection Using Viola Jones Algorithm and Neural Networks
Authors:
- 1 August 2018
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-6
Abstract
Face detection is a technique of detecting faces from pictures, video footages, etc. There are various face detection algorithms; one of the widely used algorithm is the Viola Jones algorithm for object detection. The success rate of this algorithm for detecting faces is about 78.4%. In this paper, we present a technique, which is an improvisation on the existing Viola Jones algorithm. We have improvised the algorithm to clearly detect the eyes in a face of both people wearing glasses or not. The detection of glasses on the face is done by training a neural network. This algorithm primarily identifies a face with the presence of eyes, which has improved the detection rate and today our observations have yielded 90% success.Keywords
This publication has 5 references indexed in Scilit:
- A practical implementation of face detection by using Matlab cascade object detector2015
- A review on Face Detection and study of Viola Jones methodInternational Journal of Computer Trends and Technology, 2015
- Face detection in color images using skin color model algorithm based on skin color information2011
- Rapid object detection using a boosted cascade of simple features2005
- Robust Real-Time Face DetectionInternational Journal of Computer Vision, 2004