Volume no :
10 |
Issue no :
01
Article Type :
Google Scholar
Author :
Pavithra J, Barathkumar M, Dinesh S , Elangkathir, Harish V
Published Date :
07 - April - 2026
Publisher :
Journal of Artificial Intelligence and Cyber Security (JAICS)
Page No: 1 - 9
Abstract : Handwritten documents continue to play a significant role in various domains such as healthcare, education, and administration. However, manual digitization of such documents is time-consuming and prone to errors. This paper presents an AI-based system for digitizing handwritten documents using Optical Character Recognition (OCR) combined with image preprocessing and machine learning techniques. The system enhances input images, extracts handwritten text, and applies intelligent correction mechanisms to improve accuracy. The processed data is stored in a structured database for efficient retrieval. Experimental results indicate that the proposed system significantly reduces manual effort while achieving high accuracy in handwritten text recognition.
Keyword OCR, Handwritten Text Recognition, Artificial Intelligence, Document Digitization, Image Processing, Machine Learning
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