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  Published Paper Details:

  Paper Title

AUTOMATIC TRANSLATION OF MANGAS INTO OTHER LANGUAGES

  Authors

  Sai Kumar S,  Raghavendra R

  Keywords

Manga, Speech Balloon extraction, Text Detection, OCR, Translation

  Abstract


Mangas are getting more popular as time goes on, thanks to the convenience with which they can be accessed through online entertainment. Many mangas have grown in popularity to the point where they now outsell western comics, which have set the bar for sales in the last decade. As a result of the rising demand for localization of these works, publishers have pushed for mangas to be translated into multiple languages for easier consumption and therefore greater sales. Cleaning manga panels and, if required, redrawing panels are the initial steps in the translation process. The Japanese text in the image is translated, and then the translated text is in-painted back into the cleaned image. To have the manga translated, numerous competent individuals with skills in picture editing and translation are necessary. The goal of this article is to present an automated system for translating manga that will identify, translate, and in-paint the translated text. This will cut the number of man-hours and staff needed to complete the task while also integrating everything together into a single functional framework.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2204293

  Paper ID - 218231

  Page Number(s) - c511-c517

  Pubished in - Volume 10 | Issue 4 | April 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Sai Kumar S,  Raghavendra R,   "AUTOMATIC TRANSLATION OF MANGAS INTO OTHER LANGUAGES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 4, pp.c511-c517, April 2022, Available at :http://www.ijcrt.org/papers/IJCRT2204293.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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