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.

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