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This my problem.

I have a symbol written in black in a white background. As an example assume my symbol is "Z". But it does not has to be a letter always.

Now i have image of this pattern stored.

Then i draw another pattern. image size will be same as the above. Then i input this new pattern to my program and i want to check whether it matches to the stored pattern.

Even if the new patten has a similar shape but different size, it should be matched to the stored image. Therefor pattern shape is the differentiating factor. Obviously rotated patter means a different pattern.

Is there a way to do this in opencv??

I tried using feature matching. But it did not work. I think i can use a classifier but i do not have a good knowledge on that.

Can some one help me??

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  • Do you have a snippet of code showing what you have done so far? Commented Oct 20, 2013 at 17:45

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user2389323 - The short answer is yes, you can do what you described using OpenCV. Pattern matching using image processing techniques is a major piece of OpenCV. Here are some example conversations I have found dealing with this topic:

Edge Based Template Matching (includes source downloads)
Template Matching and Slice Alignment
Template Matching - Example code and tech description

I hope these links have something to help you. They were not hard to find using Pattern Matching using OpenCV in Google :)

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4 Comments

Thanks for getting back to me. Actually i looked in to template matching also when i was searching for a method. But when the size is different, i thought it is not possible to use template matching for accurate result.
by th way, the first link leads to a page that is private.
@ErikAllik - Thanks, its link must have changed somehow since I first posted this. I have removed it.
@user2389323, have you found a way to use template matching for differently sized images? I have a similar problem as you.

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