International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 163 - Number 4 |
Year of Publication: 2017 |
Authors: Ranjana Sikarwar, Pradeep Yadav |
10.5120/ijca2017913492 |
Ranjana Sikarwar, Pradeep Yadav . An Approach to Face Detection and Feature Extraction using Canny Method. International Journal of Computer Applications. 163, 4 ( Apr 2017), 1-5. DOI=10.5120/ijca2017913492
This paper presents a hybrid approach to face detection and feature extraction. The remarkable advancement in technology has enhanced the use of more accurate and precise methods to detect faces. This paper presents a combination of three well known algorithms Viola- Jones face detection framework, Neural Networks and Canny edge detection method to detect face in static images. The proposed work emphasizes on the face detection and identification using Viola-Jones algorithm which is a real time face detection system. Neural Networks will be used as a classifier between faces and non-faces. Canny edge detection method is an efficient method for detecting boundaries on a face in this proposed work. The Canny edge detector is primarily useful to locate sharp intensity changes and to find object boundaries in an image.