Handwriting Recognition
Arda Mavi - ardamavi.com
Handwriting recognition with machine learning.
I used decision trees from Scikit-Learn to finding which character in image. Scikit-Learn is an open source Python library for machine learning.
Using Commend:
python3 main.py <ImageFileName>
Adding new characters and train dataset:
If you want to add new character to datasets, you create a directory and rename what you want to add character (like 'a' or 'i').
If you want to add a new training images to previously character datasets or null dataset of character, you add a image(suggested image size: 25x25) to about character directory.
Note: We work on grayscale(2D matrix) image also if you use color images(like RGB), program will automatically return to grayscale from your color image.
Used Modules:
- sys
- numpy
- PIL (Image)
- os (listdir)
- sklearn (joblib and MLPClassifier)
Important Notes:
- Suggested image size: 25x25
- Install above modules
- If you want to update classifier(maybe for newly trained classifier with new data sets), delete 'Data/classifier/classifier.pkl' file and run program again.
- The program can only distinguish '0', '1' and 'A' characters. To be able to distinguish other characters, you should add new character datasets.