Great stuff. My parting advice is don't think it will always be 100%
perfect. I hope it will but you could get a weird person name that brings 2
letters together just close enough to make Tesseract get it wrong. I would
maybe do further testing against lots of test images - of course it depends
on your onward promises and system dependencies - is this just a helper
tool or does it need to be 100% accurate 100% of the time :) Great you got
somewhere with it.

Cheers

On 15 July 2016 at 16:49, Raphael Budd <[email protected]> wrote:

> Okay so after all of that I did something with maven - not really sure
> what but now it works. I have 100% accuracy and everything is amazing.
> Thanks for all the help! Just as an aside for anyone reading this also
> trying to do this; cutting out the individual rows and removing the borders
> makes Tesseract a lot happier than just throwing the entire document. I
> went from maybe around 60% accuracy to 100% with some pre processing. I
> also had to scale the image up a lot, but it works great now.
>
> On Tuesday, July 12, 2016 at 2:10:27 AM UTC-4, Raphael Budd wrote:
>
>> Hey everyone,
>>
>> I've got this pdf document which is a schedule. I'm trying to extract the
>> text from it via tesseract but I'm not having that good results.
>>
>> I've tried a lot of different things, in my inexperienced opinion the
>> image seems very high quality as I can zoom in a lot without seeing pixels.
>> I've also tried to convert the pdf->tiff and add grayscale filter (all via
>> java).
>>
>> I've attached both the end result and the original pdf here along with a
>> sample of the output, any help making the output better would be
>> appreciated.
>>
>> The tiff file is too big for the attachement; see this link:
>> http://wltd.org/Daily%20schedule-14.tiff
>>
>> ---Begin text---
>> 008 KIERA MCG 3:00 PM 11:00 PM TRWN 8.00 —
>> 718 KYLE s 11:00 PM 7:00 AM MT 8.00 < —
>> 686 JOSEPH e 11:00 PM 5:00 AM MT 6.00 — >
>> 718 KYLE s 11:00 PM 7:00 AM MT 8.00 — >
>> 656 CHANDLER A 1:00 PM 4:00 PM MB 3.00 —
>> 720 TYLER D 11:00 PM 7:00 AM T|_ F 8.00 < —
>> 720 TYLER D 11:00 PM 7:00 AM T|_ F 8.00 — >
>> 052 SH ELLY L 5:30 AM 2:00 PM FLRIFFIMGR F 8.50 _:I
>> Riley M 372 8:00 AM 4:00 PM FLR F 8.00 —
>> ‘ Raphael B602 4:00 PM 12:00 AM FLRIMGR F 8.00 ‘ —:| I
>> ‘ Kevin G 652 11:00 AM 7:00 PM g$Y$IWNIMNY$I F 8.00 ‘ I:-:| I
>> Joseph C 191 8:00 AM 4:00 PM ADMIBKIMB F 8.00 -:—
>> 2014 ROXANA T 11:00 AM 7:00 PM ADM F 8.00 _
>>
>> --END TEXT---
>>
>> As you can see tesseract becomes quite creative with its attempt at
>> parsing this, earlier in the document it even parsed the letter "N" as
>> "|\|", creative but useless for parsing!
>>
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