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.
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DOI:
10.17148/IJARCCE.2024.13510
