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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: March 2023

Volume 8 | Issue 3

Impact factor: 8.15

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Paper Title: Braille Character Recognition Using Deep Learning Techniques
Authors Name: Ms.Asiya Farseen , Dr Kumaraswamy S
Unique Id: IJSDR2303062
Published In: Volume 8 Issue 3, March-2023
Abstract: Braille Character Recognition (BCR) is a technique for finding and identifying Braille documents that are saved in images like jpeg, jpg, tiff, or gif files, and then converting the text into a machine-readable form like a text file. BCR transforms an image’s pixel representation into its corresponding character representation. Numerous advantages of braille recognition make working at institutions and schools for the blind and visually impaired easier on a daily basis. Since it would take a very long time to look through, read, or rewrite all of the paper forms and documents that are used in many schools to educate blind pupils by hand, it makes sense to try to automate this process. OCR is a technology that transforms scanned, printed, and handwritten image files into legible, editable text documents. The OCR system converted the file from the image it got by comparing the characters. using the collection of OCR-stored databases. Character recognition is being employed in many significant applications, such as speed track, which the government has used to monitor speeding vehicles. It is possible for blind persons to read text using character recognition. It has given the community’s blind members new hope.
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Cite Article: "Braille Character Recognition Using Deep Learning Techniques", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 3, page no.400 - 406, March-2023, Available :http://www.ijsdr.org/papers/IJSDR2303062.pdf
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Publication Details: Published Paper ID: IJSDR2303062
Registration ID:204411
Published In: Volume 8 Issue 3, March-2023
DOI (Digital Object Identifier):
Page No: 400 - 406
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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