Optical character recognition system using artificial intelligence
DOI:
https://doi.org/10.62486/latia202498Keywords:
Optical character, recognition system, artificial intelligenceAbstract
Abstract A technique termed optical character recognition, or OCR, is used to extract text from images. An OCR the system's primary goal is to transform already present paper-based paperwork or picture data into usable papers. Character as well as word detection are the two main phases of an OCR, which is designed using many algorithms. An OCR also maintains a document's structure by focusing on sentence identification, which is a more sophisticated approach. Research has demonstrated that despite the efforts of numerous scholars, no error-free Bengali OCR has been produced. This issue is addressed by developing an OCR for the Bengali language using the latest 3.03 version of the Tesseract OCR engine for Windows.
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Copyright (c) 2024 Muthusundari, A Velpoorani, S Venkata Kusuma, Trisha L, Om.k.Rohini (Author)
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The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.
