• @[email protected]
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    11 months ago

    Its much more difficult than that to be actually believable. As u/Luftruessel said, theres a great video from “Stuff Made Here” where he goes deep inside the topic and tries to fool a graphologist.

        • @[email protected]
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          311 months ago

          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”.

          • @[email protected]
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            211 months ago

            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.

            • @[email protected]
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              11 months ago

              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