71–80 of 141 posts
> In a sense that’s kind of like what a human can do: we can recognize that a sign, Oh god... how does it finish! I need closure! (PS: this is awesome)
It's spelled Naphtha (http://en.wikipedia.org/wiki/Naphtha). And for the HN hordes - read the bottom of the linked project page, it is supposed to be a reference to Naphtha.
:)
Very cool stuff, but need to satisfy my OCD: It's spelled Naphtha ( http://en.wikipedia.org/wiki/Naphtha ). And for the HN hordes - read the bottom of the linked project page, it is supposed to be a reference to Naphtha. :)
I wonder if you could get better performance when running locally by sending the result through a spellchecker and doing some Bayesian magic on the word choice...
Wow - this is amazing. Right this very moment (well, a few moments ago when I wasn't procrastinating on HN) I was in the midst of extracting data from a client's old website in preparation of creating a new website. A lot of that data is contained within images. From a few preliminary tests, I'm hugely impressed. This seems on-par with any other OCR software I've used, and the fact that it happens in realtime in the…
There's actually been a bit of research on the error rates you need to beat for OCR to be cost-effective vs. having people re-type. I don't have the references handy, but I believe it's generally cost effective to OCR with error rates up to nearly 2%, and most current "consumer grade" OCR is well below 1% error rates for scans that aren't absolutely atrociously poor quality. My Msc thesis was on reducing OCR error ra…
Doesn't that depend entirely on what you're using the text for and how accurate it needs to be?