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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

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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  •    Non-Linear Principal Component Embedding for Face Recognition
  •    Principal Component Analysis of Directional Images for Face Recognition
  •    Face Recognition System Based on Orthogonal Polynomials
  •    Multi-channel Gabor Face Recognition Based on Area Selection
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






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