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2012 (Vol. 4, Issue: 24)
Article Information:

Classifier in Age classification

B. Santhi and R. Seethalakshmi
Corresponding Author:  B. Santhi 

Key words:  Classifier, confusion matrix, facial features, GLCM, performance metrics, SVM,
Vol. 4 , (24): 5372-5374
Submitted Accepted Published
March 18, 2012 April 14, 2012 December 15, 2012

Face is the important feature of the human beings. We can derive various properties of a human by analyzing the face. The objective of the study is to design a classifier for age using facial images. Age classification is essential in many applications like crime detection, employment and face detection. The proposed algorithm contains four phases: preprocessing, feature extraction, feature selection and classification. The classification employs two class labels namely child and Old. This study addresses the limitations in the existing classifiers, as it uses the Grey Level Co-occurrence Matrix (GLCM) for feature extraction and Support Vector Machine (SVM) for classification. This improves the accuracy of the classification as it outperforms the existing methods.
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  Cite this Reference:
B. Santhi and R. Seethalakshmi, 2012. Classifier in Age classification.  Research Journal of Applied Sciences, Engineering and Technology, 4(24): 5372-5374.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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