Text Extraction from Digital Images with Text to Speech Conversion and Language Translation

Authors : Akhil Chandran Miniyadan; Nithya G P

Volume/Issue : Volume 6 - 2021, Issue 3 - March

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/3w3Pz2I

:- In this age of digital information, the need for digitalizing anything and everything is a growing need. Today most of the information is available either on paper or in the form of photographs. Tracking and modifying information from images is inconvenient and timeconsuming. Thus we need to extract textual images into editable text. We do have technologies to extract text but they are mainly against clean backgrounds and it seemed to generate erroneous results. Thus, there is a need for a system to extract text from general backgrounds with more accuracy. Generating such text can be utilized as an input to a TTS Text-to-Speech where it converts any text into a speech signal and later on translated into the desired language. Our market is beamed with text extraction, TTS and translation products but is often in separate products. Our aim to achieve is combining all these text manipulations in one product and to be able to sync with existing text modifying products.

Keywords : Optical Character Recognition, Firebase ML Kit, Binarization, TTS, Discrete Contour Evolution.


Paper Submission Last Date
31 - May - 2022

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.