Classifying of Human Face Images Based on the Graph Theory Concepts

Authors

  • Mohammed Abed

Keywords:

Image Processing, Graph Theory, Face Recognition, Clustering, Neighborhood

Abstract

The purpose of this paper is to propose an effective clustering algorithm. The principle idea of this algorithm depends on the graphic theory by using the terms and definitions of the graph and the tree. The proposed algorithm was applied on different human face images taken from ORL database, and it gives good clustering results with small rate of error. Matlab version (8) was used to implement this algorithm.

How to Cite

Mohammed Abed. (2012). Classifying of Human Face Images Based on the Graph Theory Concepts. Global Journal of Computer Science and Technology, 12(F13), 23–27. Retrieved from https://computerresearch.org/index.php/computer/article/view/305

Classifying of Human Face Images Based on the Graph Theory Concepts

Published

2012-03-15