Image Processing and Stroke filter

I am new into Image Processing, and I have started simple project for recognizing text on images with complex background. I want to use stroke filter as first step, but I cannot find enough data about stroke filters to implement this.

I have only managed to find pure definition of Stroke Filters. So does开发者_如何学Go anyone know something about Stroke filters that can be helpfull to me for my implementation.

I found one interesting article here, but it doesnt explain Stroke Filters in depth http://www.google.com/url?sa=t&source=web&ct=res&cd=4&ved=0CBoQFjAD&url=http%3A%2F%2Fwww-video.eecs.berkeley.edu%2FProceedings%2FICIP2006%2Fpdfs%2F0001473.pdf&ei=qtxaS5ubEtHB4gbFj8HqBA&usg=AFQjCNEnXQCMAFnqPRHe2kNZ6JEidR1sQg&sig2=wpaIDIQmNn739aF0cYWbsg

"Stroke Filters" are not a standard idea in image-processing. Instead, this is a term created for the paper that you linked to, where they define what they mean by a stroke filter (sect. 2) and how you can implement one computationally (sect. 4).

Because of this, you are unlikely to find an implementation in a standard toolkit; though you might want to look around for someone who's posted an implementation, or contact the authors.

Basically, though, they are saying that you can identify text in an image based on typical properties of text, in particular, that text has many stroke-like structures with a specific spatial distribution.