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Volume & Issue no: Volume 5, Issue 2, March - April 2016

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Title:
Factor Analysis Assisted Classification of Ear Images Based on GLCM Features
Author Name:
Prashanth G.K., M.A.Jayaram
Abstract:
Abstract It is well known fact the Gray Level co-occurrence matrix (GLCM) is immensely used to extract second order statistical textual features of an image. These features have been variously used by researchers. In this paper, GLCM features of 800 right ear images have been used. The case in point is ear biometrics; the 22 features extracted from the images were subjected to factor analysis for delineating the most predominant textural attributes and the factors involved with them. The result shows that three factors qualified by Kaiser’s criterion were used to develop a person identification system, which showed 97% of recognition accuracy. Keywords: Ear Images, Biometrics, GLCM features, Factor analysis, Person identification system.
Cite this article:
Prashanth G.K., M.A.Jayaram , " Factor Analysis Assisted Classification of Ear Images Based on GLCM Features" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 5, Issue 2, March - April 2016 , pp. 074-081 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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