Template-based Online Character Recognition

Comments

Summary

This paper discusses the template-based matching technique for the recognition of online characters. The digitized points are taken from a tablet pc and then the stroke points are preprocessed to remove noise by applying smoothing to the stoke points.

The OCR system aligns the input stroke and calculate distance between the two strokes to get a measure of distance. Similar strokes result in lesser distance. The distance calculation is done by a string matching technique.

For classification the author uses two techniques of nearest neighbor and decision trees. The author is able to achieve 86.9 % accuracy in classification accuracy for a 36-class set of alpha-numeric characters.

Discussion

One of the few paper we read on OCR techniques. I like the authors idea of using two different techniques for classification of characters.