My next step is to apply OpenCV's boosting framework to my problem. I have OpenCv installed, and after a bunch of linking issues, I can at least get things to compile. I have spent this weekend and today figuring out how to use it. I have a much better handle on it now and will hopefully get it working soon.
I have been referencing this tutorial, which is ok.
I plan to train 26 different classifiers, one for each letter.
Random fact: OpenCV either lets you give it one training image, where it takes random samples of the image, or it lets you give it a bunch of images and it does nothing with those. Although the tutorial mentioned above provides a way to combine the 2 approaches.
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