ABSTRACT: Kannada handwritten reports were the only way of documentation available in government offices and healthcare departments in Karnataka state. Reproducing the contents of these old documents through typewriting is a tedious task, as the documents are difficult to read and understand. Hence there is a need for a computer-based system to overcome the gap between machines and humans. This project proposes an efficient method for Kannada handwritten character recognition system which uses image preprocessing techniques to enhance the quality of an image and exploring deep learning technique for feature extraction. . The proposed work is concentrated on developing an offline handwriting recognition system to recognize the Kannada statements to a suitable degree of recognition.

Keywords: Kannada character recognition, deep neural networks, OpenCV.

PDF | DOI: 10.17148/IJARCCE.2021.10713

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