Any ideas about this? I'm encountering this problem quite often, even with
custom training.

I tried to do some data augmentation during training varying the number of
pixels on the left but did not help.

Should I report it as an issue on github and discuss it there?


Thanks, bye

Lorenzo



2018-07-05 18:59 GMT+02:00 Lorenzo Bolzani <[email protected]>:

>
> Hi,
> I have a small problem with some letters that are recognized as multiple
> letters.
>
> This is a sample (I can reproduce the problem with this image and eng
> "_best"):
>
>
>
> output is: 17AE4L4
>
> The 4 is seen as three different letters. Maybe the shape of the 4 is not
> so common and this is creating the problem.
>
> This is how tesseract sees the image (data is taken from the bounding box
> returned by the iterator, a red dots means the beginning of a symbol):
>
>
>
>
> I'm wondering if there is anything I can do to fix this other than
> training a custom model on this font (it is part of an mrz, btw).
>
> Even a small edit to the image, like cropping, makes the problem appear or
> disappear. The output for the other sample is : 17AESL
>
> Are there any parameters like minimum box size, split threshold, something
> I can ask the iterator, etc. that might help? Or is everything part of the
> lstm?
>
> I tried a quick fix based on the box sizes and confidence but there are
> several variations and is not so easy to do it right.
>
>
>
> I'm using:
>
> tesseract 4.0.0-beta.3-56-g5fda
>  leptonica-1.76.0
>   libgif 5.1.4 : libjpeg 8d (libjpeg-turbo 1.4.2) : libpng 1.2.54 :
> libtiff 4.0.6 : zlib 1.2.8 : libwebp 0.4.4 : libopenjp2 2.3.0
>  Found AVX2
>  Found AVX
>  Found SSE
>
>
>
> Thanks, bye
>
> Lorenzo
>
>
>
>

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