I have images of identity cards (manually taken so not of same size) and I need to extract the text in it.
I used tesseract to predict bounding boxes for each letter and am successful to some extent but some letters are not bounded.
So, I have around 5000 bounding boxes in all images combined.
I want to train it so as to predict bounding boxes for remaining letters.
After predicting the bounding boxes I will try to classify the image into characters.
This is different from conventional machine learning problem where I donot have training and testing data separately.