PERFORMANCE EVALUATION OF MLP AND RBF CLASSIFIERS FOR HANDWRITTEN CHARACTER RECOGNITION USING HYBRID FEATURES

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Amit Choudhary
Vinod Kumar

Abstract

For evaluating the accuracy and capability of MLP (Multi Layer Perceptron) and RBF (Radial Basis Function) classifier algorithms; projection profile features for the character images are extracted and are merged with the binarization features after preprocessing every character image, and the combined features thus obtained are used to train both the classifiers (MLP and RBF Network) selected for performing character recognition task. Simulation studies are examined extensively and the proposed hybrid features are found to deliver the recognition accuracy of 93.46% when used with RBF Network as a classifier which is better than the 88.76% accuracy obtained when used with MLP Network as a classifier.

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References

S. N. Sivanandam, S. N. Deepa,†Principals of Soft Computingâ€, pp. 71–83. Wiley-India.

A. Choudhary, R. Rishi, S. Ahlawat, “Unconstrained Handwritten Digit OCR Using Projection Profile and Neural Network Approachâ€. In: Proceedings of the InConINDIA 2012. AISC, vol. 132, pp. 119–126. Springer, Heidelberg, 2012.

A. Choudhary, R. Rishi, S. Ahlawat, “A New Character Segmentation Approach for Off-Line Cursive Handwritten Wordsâ€. Elsevier Procedia Computer Science 17, pp. 434–440, 2013.

U. Bhattacharya, B. B. Chaudhuri, “A Majrity voting scheme for multiresolution recognition of handprinted numeralsâ€. in Seventh International Conference on Document Analysis and Recognition (ICDAR), vol. 1, p. 16, 2003.

A. Choudhary, R. Rishi, “Improving the Character Recognition Efficiency of Feed Forward BP Neural Networkâ€. International Journal of Computer Science and Information Technology (IJCSIT), vol. 3(1), pp. 85–96, 2011.

A. Choudhary, R. Rishi, S. Ahlawat, “Handwritten Numeral Recognition Using Modified BP ANN Structureâ€. in: CCSIT 2011, Part III. CCIS, vol. 133, pp. 56–65, 2011.

A. A. Desai, “Gujarati Handwritten Numeral Optical Character Recognition through Neural Networkâ€. Pattern Recognition, vol. 43(7), pp. 2582–2589, 2010.