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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 13, ISSUE 5, MAY 2024

Kannada Handwritten Optical Character Recognition

Mr. Dadapeer, Abhishek Alwandi, Amanath Rasool, Bhuvana, K S Mallika Begum

DOI: 10.17148/IJARCCE.2024.13510

Abstract: Optical character recognition (OCR) technology place a vital role in converting handwritten text into digitalformat.This technology explores the development and implementation of OCR system to extract text from various source such as handwritten images and printed images.OCR is one of the challenging topics in the character recognition field.The process begin with the giving an input as image. First the image goes under the pre-processing technique to remove the noise, image obtained is processed to identify the required lines. The identified lines ae extracted using segmentation process. The model is used using Convolutional Neural Network technique.

Keywords: Convolutional neural network, handwritten character recognition.

How to Cite:

[1] Mr. Dadapeer, Abhishek Alwandi, Amanath Rasool, Bhuvana, K S Mallika Begum, “Kannada Handwritten Optical Character Recognition,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.13510