A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org
Call for Paper, Published Articles, Indexing Infromation
International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org
Call for Paper, Published Articles, Indexing Infromation
Title: |
Factor Analysis Assisted Classification of Ear Images Based on GLCM Features
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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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