Preprocessing Techniques for Online Handwriting Recognition

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 benchmark UNIPEN database. The experimental results show that our preprocessing technique can improve the recognition rates by at least 10%.