Sunday, December 12, 2010

Reading #15: Image-Based Trainable Symbol Recognizer

  • None yet
  • Kara and Stahovich present a vision-based trainable symbol recognizer. The recognizer is scale, translation, and rotation invariant, and runs very quickly. The system is an instance-based classifier, so it is easy to add new classes or new training instances of already-defined classes.

    This paper presents a good symbol recognizer that's pretty easy to implement. It's also a good introduction to a number of interesting distance metrics.

    No comments:

    Post a Comment

    You need a better browser to enjoy this page.
    hide

    Draw on my Blog!

    Left click anywhere to start drawing. Right click to attempt recognition and to clear the screen. Recognition is powered by the $N recognizer. Contact me if you want your blog listed; for now please pick a symbol from that web page.

    Legend