4 ms·
Known font, known range of possible characters (almost certainly ascii), and probably several blurred characters in there that we know (like the t in attachment
by generalizations 5y ago
Known font, known range of possible characters (almost certainly ascii), and probably several blurred characters in there that we know (like the t in attachment). If the blur is differentiable per-character, it's probably reversible.
- warent 5y agoEven without automation. Just make a list of blurred alphanumerics, then match every blurred character in the picture against the character list. with some patience probably doable in a single day
- spicybright 5y agoProbably the most time efficient way to do it tbh.
- ansgri 5y agoThat’s called generative recognition, and it’s the best way to do it (probably can be formally proved under some noise model assumptions) if you have a good model of the data and enough computational resources.
- boppo1 5y agoWhat tools do people use for stuff like this? A python library? C++?