About project

This project aims to read and Solve captchas from the Golestan website. Steps:

1) Collect Captchas:

• Collect captchas using an API.

2) Make captchas ready for the ML process:

• Convert captcha backgrounds to black and white.
• Split the created picture into alphabet and digits by cropping the picture.

3) Implement Classification-Algorithms to make cropped pictures to text:

• Train the handmade Dataset from Golestan captchas
• Implement KNN to the trained dataset.
• Save the model to the .sav file to decrease the program's running time.
• Generate the captcha's text with 96% accuracy.

How to run?

Install the dependencies.

pip3 install -r requirements.txt

Train Dataset:

Run modelTrainer.py for train model using Datasets.

Solve captcha:

After the model is created and saved in the directory you should run captchaSolver.py to solve the specific captcha.

Files and directories

• modelTrainer.py: trains the model

• captchaSolver.py: captcha solver

• cropLettersFromImage.py: image preproccessing and cropping

• TrainAndSolver.py: captcha solving proccess in notebook

• Datasets: training dataset captchas

• Golestan-Captchas: test captchas