Captcha Recognition using Recurrent-CNN architecture and CTC Loss

This model is trained on a very small sample of data. It obviously doesn't work for different kinds of captcha images. But the usage of R-CNN along with CTC loss is interesting. This project was inspired by Abhishek Thakur's YouTube video.

To train the model, run:

python train.py

To test the model on an image, add the image to the output folder and pass the file name as an argument:

python inference.py --filename=test2.png