Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Character recognition is the extraction of printed or handwritten text from images into machine-readable format. The extracted text can be easily edited, modified and efficiently stored. While there are several Optical Character Recognition (OCR) and Handwritten Character Recognition (HCR) systems available for the English language, such systems are not well developed for Indian languages such as Gujarati. This work deals with text recognition of the Gujarati text. Different models have been analyzed in this work for the task of recognition of Gujarati text and system has been developed using the CNN architecture which gives better accuracy and efficiency. The input to the system is an image having Handwritten Gujarati text and the system produces an editable text document having the contents of the recognized text in the image.
The proposed system employs a Convolutional Neural Network (CNN) architecture, specifically used to handle the complex features and variations present in handwritten Gujarati text. The results demonstrate the effectiveness of the proposed OCR system in accurately recognizing handwritten Gujarati text from scanned documents.
The proposed approach can serve as a foundation for developing OCR systems for other Indic scripts and handwritten languages, fostering greater accessibility to information in a digital era.
Keywords:
OCR, HCR, CNN
Cite Article:
"OCR for Gujarati Handwritten Text", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 12, page no.a642-a656, December-2024, Available :http://www.ijrti.org/papers/IJRTI2412069.pdf
Downloads:
000603
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator