Abstract
Character recognition is an emerging area of research in the field of image processing and pattern recognition. The objective here is to generate a Bengali dictionary and develop an artificial neural network based technique for matching an input word with the dictionary word. The technique uses the features of the words as a whole rather than the features of each character. For feature extraction purpose, we have used 2D Gabor filter. For the dictionary words, it shows 93.67% accuracy in matching and for non-dictionary words, it shows 83% accuracy in non-matching. The overall accuracy of the system becomes 91%.
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Nandy (Pal), M., Majumdar, S. (2011). Feature Extraction and Recognition of Bengali Word Using Gabor Filter and Artificial Neural Network. In: Singh, C., Singh Lehal, G., Sengupta, J., Sharma, D.V., Goyal, V. (eds) Information Systems for Indian Languages. ICISIL 2011. Communications in Computer and Information Science, vol 139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19403-0_7
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DOI: https://doi.org/10.1007/978-3-642-19403-0_7
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