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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 7, JULY 2021

Search Algorithm for Kannada Handwritten Characters

Ms. Nischitha S, Ms. Lekhana G & Ms. Namratha G, Ms. Keerthana M & Ms. Meghana M K

DOI: 10.17148/IJARCCE.2021.10713

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.

How to Cite:

[1] Ms. Nischitha S, Ms. Lekhana G & Ms. Namratha G, Ms. Keerthana M & Ms. Meghana M K, “Search Algorithm for Kannada Handwritten Characters,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.10713