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Neural Network based Feature Extraction for Assamese Character and Numeral Recognition

Kandarpa Kumar Sarma

Abstract


Feature extraction is a vital ingredient in a neural network based pattern recognition problem. In problems like character and numeral recognition using neural network the feature extraction process should capture not only the relevant information about an input pattern but also ensure that only the effective samples are retained and used for subsequent operations. The work here describes the use of a neural feature extractor for generating a feature set for use in a neural network based character and numeral recognition system in Assamese- an important language in the North Eastern part of the country. The results thus obtained are compared with the ones earlier obtained from a similar application and a PCA-based feature extraction method. The neural feature extractor based method proves to be superior.

Keywords


MLP, Feature, Correlation Recognition, Assamese.

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