Submit Manuscript

Trends in Applied Sciences Research

Year: 2012 | Volume: 7 | Issue: 8 | Page No.: 683-691
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Article Trend

Total views 550

Search

Authors

H.K. Bashier

E. Abdu Abusham

F. Khalid

Keywords

Research Article

Face Detection Based on Graph Structure and Neural Networks

H.K. Bashier, E. Abdu Abusham and F. Khalid
Face detection plays an important role in many applications such as face recognition, face image database and video surveillance. In this study a novel face detection algorithm has been introduced with accurate results. The method is based on the idea of Local Graph Structure (LGS) and neural network. LGS features are derived from a general definition of texture in a local graph neighbourhood. The features are based on dominating set of pixels on certain sub-graph of the image, once the features are extracted then neural network is applied as a classifier. The experiments results on CBL face database images demonstrated the effectiveness of the proposed method.
PDF Fulltext XML References Citation

Leave a Comment

Your email address will not be published. Required fields are marked *