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OCR for Java allows you to extract text from images, screenshots, specific areas of an image, and create searchable PDFs from scanned files on any platform that supports Java. With its powerful yet easy-to-use API, even the complex OCR tasks take less than 10 lines of code.
I recommend trying the Java OCR project on sourceforge.net. I originally developed it, and I have a blog posting on it.
Since I put it up on sourceforge, its functionality been expanded and improved quite a bit through the great work of a volunteer researcher/developer.
Give it a try, and if you don't like it, you can always improve it!
We have tested a few OCR engines with Java like Tesseract,Asprise, Abbyy etc. In our analysis, Abbyy gave the best results.
If you are looking for a very extensible option or have a specific problem domain you could consider rolling your own using the Java Object Oriented Neural Engine. Another JOONE reference.
I used it successfully in a personal project to identify the letter from an image such as this, you can find all the source for the OCR component of my application on github, here.
There are a variety of OCR libraries out there. However, my experience is that the major commercial implementations, ABBYY, Omnipage, and ReadIris, far outdo the open-source or other minor implementations. These commercial libraries are not primarily designed to work with Java, though of course it is possible.
Of course, if your interest is to learn the code, the open-source implementations will do the trick.
Just found this one (don't know it, not tested, check yourself)
Ron Cemer Java OCR
As you only need this for curiosity you could look into the source of this applet.
It does OCR of handwritten characters with a neural network
Java OCR: Handwriting Recognition
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