Tesseract doesn't care about whether things are metal or plastic or cotton,
it tries to turn whatever image it is given into text via a pipeline of
rules and shape classifiers for text. It succeeds when the text is distinct
enough from the background so that it can do that job, and I suspect you
will struggle a lot with this image unless you do some preprocessing.

I worked on a project using Tesseract for scanning airplane decals and we
had a preprocessing pipeline consisting of gaussian blurring, adaptive
thresholding and more.

You might look into background removal as a preprocessing stage for this
kind of image to give Tesseract a better chance of seeing just the text:

http://docs.opencv.org/3.1.0/db/d5c/tutorial_py_bg_subtraction.html#gsc.tab=0

Cheers

On 21 July 2016 at 12:24, Mark Greally <[email protected]> wrote:

> Hi.
>
> I have just started using tesseract and have successfully read printed
> text on paper. However I want to be able to read from a shiny surface. In
> the image below I have tilted the camera to reduce the reflection and glare
> and gives the best contrast.
>
>
> <https://lh3.googleusercontent.com/-AqH3mBd1irQ/V5CwYkeiTSI/AAAAAAAAAG8/VoQQG0fTzUEwa4km8nKQIv14IQBTXLa_ACLcB/s1600/Text.jpg>
> Is it possible for tesseract to read such images?
>
> Thanks,
>
> Mark.
>
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