Use this:
// This ensures Tesseract's "blob_choices" structures are filled
SetVariable("save_best_choices", "T");
Warm regards,
Dmitri Silaev
On Wed, Apr 6, 2011 at 9:16 PM, micke <[email protected]> wrote:
> Hi,
>
> I'm using Tesseract 3.01 on images basically containing two columns of
> multidigit numbers. The source material is semi-poor computer
> printouts from the 60's. I've trained Tesseract specifically for that
> data, using a unicharset containing only the relevant characters, and
> overall I'm very pleased with the accuracy. On character level, I'm
> getting about 99.8 percent. What I'm trying to do now is find a way to
> locate probable errors to make it easier to fix them.
>
> My first approach is to make use of Tesseract's confidence data.
> Having researched this a bit, I realize those numbers may not do me a
> whole lot of good, but I'd like to at least give it a try. What I've
> tried so far is to patch TessBaseAPI::GetBoxtText to include a new
> column in the box file containing the confidence values, by calling
> Confidence(RIL_SYMBOL) on the ResultIterator for each character. The
> problem is that I get the same confidence value for all characters in
> a "word", rather than character-specific values. Is this what's meant
> to happen?
>
> I've found that for my data, best_choice->blob_choices() always
> returns NULL in ResultIterator::Confidence. Is this why I get word
> confidences, or would it be the same thing if I did get choices, and
> choice_it.data()->certainty() was called instead of best_choice-
>>certainty()? And should I be worried that there are no choices?
>
> Of course, if there's a better way of getting at the character-level
> confidence values, I'd appreciate any pointers you may have.
>
> Thanks in advance,
> Mikael
>
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