syedjahangirpeeran / optical-character-recognition-and-tts Goto Github PK

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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.

MATLAB 100.00%

optical-character-recognition-and-tts's Introduction

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

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syedjahangirpeeran / optical-character-recognition-and-tts Goto Github PK