https://github.com/erfaniaa/persian-ocr

Optical character recognition of Farsi and Arabic letters (تشخیص حروف فارسی و عربی)
https://github.com/erfaniaa/persian-ocr

computer-vision convolutional-neural-networks deep-learning delphi farsi image-processing neural-networks ocr optical-character-recognition persian persian-ocr

Last synced: 7 months ago
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Optical character recognition of Farsi and Arabic letters (تشخیص حروف فارسی و عربی)

• Host: GitHub
• URL: https://github.com/erfaniaa/persian-ocr
• Owner: Erfaniaa
• Created: 2018-06-18T22:35:55.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2025-02-17T11:24:15.000Z (8 months ago)
• Last Synced: 2025-02-17T12:26:18.108Z (8 months ago)
• Topics: computer-vision, convolutional-neural-networks, deep-learning, delphi, farsi, image-processing, neural-networks, ocr, optical-character-recognition, persian, persian-ocr
• Language: Pascal
• Homepage:
• Size: 11.2 MB
• Stars: 53
• Watchers: 5
• Forks: 6
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

          
# Persian OCR (تشخیص حروف فارسی)

> Offline optical character recognition of Persian letters, using deep learning and feature extraction (for educational programming purposes)

This project was completed in 2010. No special libraries were used in it, so it was good practice for us to learn image processing, computer vision, and convolutional neural networks from scratch in middle school.

Read [this document](https://github.com/Erfaniaa/Persian-OCR/blob/master/Persian-OCR.pdf) for more details (in Persian).

## Screenshots

![ocr1](https://user-images.githubusercontent.com/7780269/46572355-46332d00-c991-11e8-8f00-8296636efc1d.JPG)

![ocr2](https://user-images.githubusercontent.com/7780269/46572356-46332d00-c991-11e8-9c89-8bbc7b9e2dd7.JPG)

![ocr3](https://user-images.githubusercontent.com/7780269/46572357-46332d00-c991-11e8-8f3f-8b8fe971f5ed.JPG)

![ocr4](https://user-images.githubusercontent.com/7780269/46572358-46cbc380-c991-11e8-9833-b884f4374901.JPG)

## Development

Open the project using Embarcadero RAD Studio Delphi.

## Run

Clone the project and run OCR.exe (on Windows).