Handwritten Character Recognition of Indian languages have been a demanding task in image processing and pattern recognition. Structural complexity and likeness in the characters also increases the complexity in the classification of characters. In this study, Malayalam, a south-Indian language investigated for recognition of its characters using Hu-invariant moments. Moments applied to the preprocessed image after zoning the image. The image divided horizontally, vertically and diagonally to which moments are applied. Feed-forward backpropagation neural network used for classification of characters with two hidden layers. A better Recognition rate of 93. 7 percentagenoted.

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Malayalam Characters Offline Character Recognition Hu-invariant Moment Neural Network