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Trends in Applied Sciences Research
  Year: 2012 | Volume: 7 | Issue: 8 | Page No.: 683-691
DOI: 10.3923/tasr.2012.683.691
 
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Face Detection Based on Graph Structure and Neural Networks

H.K. Bashier, E. Abdu Abusham and F. Khalid

Abstract:
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.
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How to cite this article:

H.K. Bashier, E. Abdu Abusham and F. Khalid, 2012. Face Detection Based on Graph Structure and Neural Networks. Trends in Applied Sciences Research, 7: 683-691.

DOI: 10.3923/tasr.2012.683.691

URL: https://scialert.net/abstract/?doi=tasr.2012.683.691

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