Dear Salahuddin, > > > I was working with OCR for my university. I took most of the idea > from bocra.sourceforge.net > > It is written using graphicsmagick library & C++. Any suggestion from > you about matching alphabet.
You now need a recogniser. You could use a neural network library or an adaptive classifier. Tesseract-OCR, the one I am trying to adapt, used a neural net named aspirine/migraine previously and then switched to a nearest-neighbour based adaptive classifier engine. This switch was made due to licensing issues with aspirine i believe. The challenge ofcourse is not to build a recogniser, since you can use one of the available ones. The challenge is to gather sufficient training data, or better yet, create a tool that automatically generates training data (given a font name and size) for this OCR system using image rendering in a matter of seconds. I have been trying to do it but my initial approach was wrong. However I believe I now know the correct approach. Kindly go through http://hacking-tesseract.blogspot.com/. > -- Be Intelligent, Use GNU/Linux http://debayanin.googlepages.com/ http://debayan.wordpress.com http://lug.nitdgp.ac.in ------------------------------------------------------------------------------ Stay on top of everything new and different, both inside and around Java (TM) technology - register by April 22, and save $200 on the JavaOne (SM) conference, June 2-5, 2009, San Francisco. 300 plus technical and hands-on sessions. Register today. Use priority code J9JMT32. http://p.sf.net/sfu/p _______________________________________________ Bengalinux-core mailing list Bengalinux-core@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/bengalinux-core
