I have started a License Plate Recognition project, in which I intend to use
IM for image processing.

I am very new to IM and a bit overwhelmed by the image processing richness
that IM offers. So far my IM use extends little beyond manually iterating
through rotating and croping operations to extract an AOI (Area of Interest)
and then applying level, color and other color manip operators (basically to
reduce the number of gray pixel and transform those pixels to either black
or white while maintaining the alphabetic character features) to the
extracted area so that tesseract can reliably translate the characters on
the image to ASCII chars.

A fundamental question: Is IM suitable for this kind of a project?

I am looking for a shell, or better yet Perl or C++, algorithm that can
search to for pre-specified quadrilateral object (using rel corner coords,
and maybe some color map stats that could represent typical color
characteristics of a license plate) that is randomly positionend on an
gray-scale image.

Also I am looking for an algorithm, that takes an AOI and then (possibly
using different color manip approaches) converts dark areas into black and
bright areas into white and possibly allows for some etch color conversions.

Is it possible to get a list of x-coord, y-coord, color code for each pixel
contained in an image using IM? (I know, depending on the image, the list
can be VERY long, but if I had a list like that an algorithm could work
through that list and manip the image so that it is useful for OCR).

And lastly, I am looking for other developers that are interested in
colaborating in this project.

With kind regards

Beat Naef

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