Classifying of Human Face Images Based on the Graph Theory Concepts

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CSTGVCJAZC

Classifying of Human Face Images Based on the Graph Theory Concepts

Dr. Jassim T.Sarsoh
Dr. Jassim T.Sarsoh
Kadhem M.Hashem
Kadhem M.Hashem
Mohammed Abed .Al-Hadi daykh
Mohammed Abed .Al-Hadi daykh
DOI

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.

Classifying of Human Face Images Based on the Graph Theory Concepts

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.

Dr. Jassim T.Sarsoh
Dr. Jassim T.Sarsoh
Kadhem M.Hashem
Kadhem M.Hashem
Mohammed Abed .Al-Hadi daykh
Mohammed Abed .Al-Hadi daykh

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Mohammed Abed. 2012. “. Global Journal of Computer Science and Technology – F: Graphics & Vision GJCST-F Volume 12 (GJCST Volume 12 Issue F13): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST Volume 12 Issue F13
Pg. 23- 27
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Classifying of Human Face Images Based on the Graph Theory Concepts

Dr. Jassim T.Sarsoh
Dr. Jassim T.Sarsoh
Kadhem M.Hashem
Kadhem M.Hashem
Mohammed Abed .Al-Hadi daykh
Mohammed Abed .Al-Hadi daykh

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