Tool for digit detection & recognition

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Example of input image:

This project in not finished.

Dependencies

These scripts need python 2.7.x and the following libraries to work:

1. sklearn==0.0

2. imutils==0.5.1

3. numpy==1.15.2

4. opencv-python==3.4.3.18

5. Pillow==5.3.0

6. scikit-learn==0.20.0

7. scipy==1.1.0

8. Install python. Just use the installer from python's website

9. Install numpy.

10. Install python-opencv. Download the release from its sourceforge site. (Choose the release based on your operating system, then choose version 2.4.12). The executable is just an archive. Extract the files, then copy cv2.pyd to the lib/site-packages folder on your python installation path. Fow Windows you can take cv2.pyd file from repo, directory /libs/cv2.

11. Install pip. Download the script for installing pip, open cmd (or termianl if you are using Linux/Mac OS X), go to the path where the downloaded script resides, and run python get-pip.py

12. Install pillow. Run pip install pillow.

13. Install scikit-learn. Run pip install scikit-learn

Execution

Run this file cv/main.py

Results

LICENSE

This project is licensed under the MIT License - see the LICENSE file for details