# display_ocr

**Repository Path**: dby604/display_ocr

## Basic Information

- **Project Name**: display_ocr
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: GPL-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-11-22
- **Last Updated**: 2025-11-22

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

Display OCR
===========

Unmaintained. Alternative traineddata avaliable at [https://github.com/Shreeshrii/tessdata_ssd](https://github.com/Shreeshrii/tessdata_ssd) or alternative implementation that don't use tesseract: [https://github.com/arturaugusto/7seg-ocr](https://github.com/arturaugusto/7seg-ocr).


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OpenCV-Python + python-tesseract real-time image preprocess and OCR.

![alt tag](img/example.png)

Trained data for 7 segments font avaliable under letsgodigital folder.

Web-app using trained data: http://ocr.sytes.net (Not always up, due to the low cost server)

Reference: https://code.google.com/p/python-tesseract/

Tips to achieve better results:
  - Use erode to avoid gaps between the segments.
  - Avoid direct light on the display (I use parchment paper to diffuse the light)

License: GPL v2