Preprocessing Techniques for Online Handwriting Recognition

Bing Quan Huang, Y. B. Zhang, Mohand Tahar Kechadi

Abstract: This paper proposes a new preprocessing technique for online handwriting. The approach is to first remove the hooks of the strokes by using changed-angle threshold with length threshold, then filter the noise by using a smoothing technique, which is the combination of the Cubic Spline and the equal-interpolation methods. Finally, the handwriting is normalised. Experiments are carried out using the bench- mark UNIPEN database. The experimental results show that our preprocessing technique can improve the recogni- tion rates by at least 10%.