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Abstract
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Article Information:
Classifier in Age classification
B. Santhi and R. Seethalakshmi
Corresponding Author: B. Santhi
Submitted: March 18, 2012
Accepted: April 14, 2012
Published: December 15, 2012 |
Abstract:
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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.
Key words: Classifier, confusion matrix, facial features, GLCM, performance metrics, SVM,
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Cite this Reference:
B. Santhi and R. Seethalakshmi, . Classifier in Age classification. Research Journal of Applied Sciences, Engineering and Technology, (24): 5372-5374.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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