I doubt it. My handwriting is at least average neatness, and stroke based recognition systems still make multiple errors per sentence. It's just a frustrating waste of time and now that we have touch screen keyboards there's no longer any point to handwriting recognition.
The only handwriting recognition system which ever worked correctly with a low error rate was Palm Graffiti. It forced the user to learn a new shorthand writing style designed specifically to avoid errors.
While we're sharing anecdotes, my handwriting is remarkably terrible, and the iPadOS Notes app does a good job of transcribing it.
I think this supports the grandparent's point about using the actual strokes, including angle and azimuth, to reconstruct intent.
I was also fairly proficient with Graffiti, back in the day, but I consider that an input method, not handwriting recognition. I was facile with T9 as well.
The secret to Palm Graffiti's market success was that it hacked user expectations.
Because it asked users to learn a new way of writing, when the recognition failed, users were more likely to blame themselves, like, "Oh, I must have not done that Graffiti letter right, I'll try again."
But when it came to recognizing regular (i.e. natural) handwriting, users believed inherently (i.e. somewhat unconsciously) that they already knew how to write, and the machine was new, so mistakes were the machine's fault.
The only handwriting recognition system which ever worked correctly with a low error rate was Palm Graffiti. It forced the user to learn a new shorthand writing style designed specifically to avoid errors.
https://en.wikipedia.org/wiki/Graffiti_(Palm_OS)
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