Skip to content

Written in MATLAB, the project aims to convert hand written or printed text into machine encoded text from a scanned document or a photo using OCR and corrects the text using MS-Word Spell checker and later converts it into speech. Accuracy of >95% is achieved.

Notifications You must be signed in to change notification settings

syedjahangirpeeran/Optical-Character-Recognition-and-TTS

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Optical-Character-Recognition-and-TTS

-> Text acquisition, recognition and speech conversion using character recognition approach and text to speech synthesizer (TTS) by MATLAB.

-> The main objective of the project is to extract horizontally aligned text of various font styles including hand written from images.

-> The code electronically converts hand written or printed text into machine encoded text from a scanned document or a photo.

Applications

->When this application is developed with an increase in efficiency, it will have the potential to replace Braille for the visually challenged.

->When integrated with proper hardware, it can be used in cars/vehicles to notice traffic signs and street names and alert the driver.

Download the dataset from: https://drive.google.com/drive/folders/1-OLXNULi_ZUj-8uNscJFvtXYTTcq2Iop?usp=sharing

About

Written in MATLAB, the project aims to convert hand written or printed text into machine encoded text from a scanned document or a photo using OCR and corrects the text using MS-Word Spell checker and later converts it into speech. Accuracy of >95% is achieved.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages