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Manyata - Recognize Hand Written Hindi Numerals

2kabhishek profile image Abhishek Keshri ・1 min read

Manyata

GitHub logo 2KAbhishek / Manyata

An OCR tool to recognize Hindi numerals. 🔟🔎

Manyata

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An OCR tool to recognize Hindi numerals.

Specifications

Software

  • OS: Windows 7 or newer, Mac OS X 10.9 or newer, GNU/Linux, BSD and other Unix Systems.
  • Tools Used: Python, OpenCV, Tesseract

Hardware

  • CPU: Intel Core 2 Duo or newer, AMD Phenom 2 X3 or newer
  • Memory: 4 GB or more
  • GPU: Any OpenGL 1.2 capable graphics card.
  • Storage: 4 GB or more

Objectives

  • To identify hand-written Hindi numerals using neural networks.
  • To identify the numerals in an autonomous way.

Target Audience

Anyone trying to recognize hand-written Hindi numerals in an autonomous way.




Hello everyone, Abhishek here
Showing off my Project for #devgrad2020

How I built it

I have currently used Python, OpenCV, and Tesseract for building this project.
I got to learn a lot about OCR systems and also various things related to Computer Vision, like the LTSM models used in Tesseract 4.0 and above. Right now, I have added script which takes an example image as input and prints out the recognized characters on the terminal.

To-Do

I'm also planning to work with tesseract.js and build a full featured web app in the future with what I have learned from this project.

Discussion (3)

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Jayesh Tembhekar ⚡

Hi, I like your project.
I also want to ask that, Can I apply for the Github Education Yearbook 2020?
I mean Is it necessary to be a final year student?
I am in 3rd year of engineering now 🤔

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2kabhishek profile image
Abhishek Keshri Author • Edited

Thanks a lot Jayesh.
Yes, you have to be graduating this year in order to be part of the 2020 yearbook, you can check out the yearbook repo for more details.
Keep polishing your skills though, next year it'll be your turn.
Cheers 😄

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Jayesh Tembhekar ⚡

Thanks for reply 🙏
I think I have to wait for next year 😅