Zone based Method to Classify Isolated Malayalam Handwritten Characters using Hu-Invariant Moments and Neural Networks
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چکیده
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. Feedforward backpropagation neural network used for classification of characters with two hidden layers. A better Recognition rate of 93.7 percentagenoted.
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تاریخ انتشار 2013