But the letter shapes change slightly depending on what letters are before and after.
You don’t just scan individual letters, you also scan a bunch of different combos of letters next to each other, as needed. For example, you’re gonna want specific scans for things like “ea”,“ee”, “eu”.
Getting several examples of every letter combination gets very hard very fast. Just lowercase, to get 5 examples of the letters before and after each letter is nearly 100k examples. You’d probably be better off doing some machine leaning shenanigans to simplify the process from training data.
I didn’t say every letter combination. I said the ones you need. Letter combos that do not connect to each other aren’t needed. Still though, you’re right that machine learning is needed… the good news is it’s already been done before, and the code is open source. StuffMadeHere on youtube already built a fully functional prototype that impressed if maybe didn’t fool forgery experts. https://youtu.be/cQO2XTP7QDw
