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Evaluation of Classification and Feature Extraction Techniques for Simple Mathematical Equations

Sanjay S. Gharde, Baviskar Pallavi V., K. P. Adhiya Published in Pattern Recognition

International Journal of Applied Information Systems
Year of Publication 2012
© 2010 by IJAIS Journal
10.5120/ijais12-450183
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  1. Sanjay S Gharde, Baviskar Pallavi V. and K P Adhiya. Article: Evaluation of Classification and Feature Extraction Techniques for Simple Mathematical Equations. International Journal of Applied Information Systems 1(5):34-38, February 2012. BibTeX

    @article{key:article,
    	author = "Sanjay S. Gharde and Baviskar Pallavi V. and K. P. Adhiya",
    	title = "Article: Evaluation of Classification and Feature Extraction Techniques for Simple Mathematical Equations",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 1,
    	number = 5,
    	pages = "34-38",
    	month = "February",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Recognition of simple mathematical equation can applied on on-line or off-line samples. This system can applicable for publicly available dataset or researchers can prepare their own dataset for training and testing samples. In particular, we try to focus on evaluation of various methods used for recognition system. Moreover, some necessary issues in simple mathematical equation recognition will be addressed in depth. This paper discusses various steps of recognition process for simple mathematical equations. In that, pre-processing, segmentation, feature extraction, classification and recognition for mathematical symbol as well as for simple expression is described. Among the various phases applied in recognition system, features extraction and classification method may affect the overall accuracy of the system. Therefore, various techniques applied in this context are studied and comparative analysis is prepared. This evaluation study suggests better feature extraction and classification technique for improving the recognition rate of simple mathematical equation system.

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Keywords

Mathematical equation recognition; symbol recognition; support vector machine; segmentation; classification; feature extraction