I'm trying to complete a captcha, and here is what it looks like:
Between captchas the calligraphy of the letters is the same, but the letters may be resized and rotated. And the background noise (the small dots and lines over and around the letters) will be different. Any Hangul letter may appear.
Edit 1: I can generate any number of new captchas with an answer for each of them. But to be clear, the answers that are generated are for entire captchas, that is, multiple Hangul letters arranged in a specific order as the answer for each captcha, not for individual letters.
- What type of machine learning is best for this problem?
- How do I extract good data from the image above for this problem?
Update 1: Unfortunately no one has given any suggestions for how to solve this yet. My idea at the moment is to mimic the model in this paper: https://www.ics.uci.edu/~xhx/publications/HHR.pdf