IMPORTANT: Python version: 2.x (2.7 if possible) Opencv version: 3.x Python-scikit: 0.17x

Installation is very easy, all that is needed is Python 2.7.11+ and virtualenv (optional). Creating a virtualenv is very easy and the instructions can be found online. OpenCV 3.x (3.1.0 or above recommended) also needs to be installed, this can usually be done via your package manager or you can retrieve it from the OpenCV website. When using a virtualenv then you need to follow the instructions on how to install on this website. Finally you need to execute the command pip install -r requirements.txt to install the other necessary components. This will automatically install the correct versions of all other dependencies.

All necessary files to run the code can be found in code/ First-timers first need to run the train command as following: "python train.py --create_segments"

In the future, the "--create_segments" is no longer required.

After this, the recognizer can be run with "python recognizer.py image.ppm input.words out.words"