How many different chars do you need to detect? What is the size range (in
pixels)? What kind of images, scans, smartphone pictures, screenshots?

If you just want to locate the symbols something like opencv matchTemplate
<https://docs.opencv.org/trunk/d4/dc6/tutorial_py_template_matching.html>
may work. Or training an opencv
<https://www.pyimagesearch.com/2015/11/09/pedestrian-detection-opencv/>/dlib
<http://www.hackevolve.com/create-your-own-object-detector/> hog detector
may work better if the symbols are skewed and with complex lighting. T
esseract is not a text/symbols detector.

If you have multiple symbols use multiple patterns/train multiple detectors.


Bye

Il giorno lun 17 giu 2019 alle ore 20:34 Jason <[email protected]> ha
scritto:

> Can I "bump" this?
>
> Even if I only get a high-level description of the process?
> - How to make a box file (for v4) of unicode chars
> - How to make the training size invariant?
> Etc.
>
> Many thanks!
>
>
>
> On Tuesday, May 21, 2019 at 10:09:57 AM UTC-4, Jason wrote:
>>
>> I would like to be able to detect shapes like those contained in
>> FontAwesome. Take for example a gear: (
>> https://fontawesome.com/icons?d=gallery&q=gear) This is unicode
>> character \uf013
>> I think this would be as simple as training a font, via
>> http://trainyourtesseract.com/, but this did not work. I am not sure why
>> it failed, but any insight on how to do this would be appreciated. I am
>> thinking the unicode range is the issue?
>> Also, I would be fundamentally training characters, not words.
>>
>> Thank you.
>>
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