I really need your help, I'm desperate.
I am trying to create an OCR application, and I ran into some problems that I cannot solve alone. while I cut the image plate and do filtering to reduce noise. for example, this is a plate after cutting it from the image and after filtering:
now due to the fact that the plate is at an angle, and since there is still noise (for example, above numbers 9 and 3), the identification process (using corr2) gives me the wrong numbers.
eg:
as you can see, the only problem is the numbers 9 and 3 (left), where the noise gets in the way.
I thought to stretch the image so that each number matches all the squares (without black lines at the top), but I canβt find a way to make it work for each image.
EDIT: this is the result of the corr2 function, I colored the results of numbers 9 and 3.
please give me an idea or a working solution ...
Any help would be greatly appreciated.
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