Online Unconstrained Handwritten Lao Character Recognition using Alternative Curvature Tree

Abstract

This paper proposes an unconstrained handwritten Lao recognition method using alternative curvature tree. The proposed method can recognize different handwritten Lao characters by segment them into clockwise and counter clockwise handwritten segments. The main problem in using this curvature direction sequence feature is the handling of small curvature segment. Some small curvature is a real feature but some are noise or unintentional written curve. Both choices are representing in a tree format and use prototyping for recognition. The proposed method perform very well in comparing to the conventional method such as elastic matching. As the experimental results, the recognition rates was 96.78% and the recognition time (average) using the PC with 1.4 GHz Pentium 4 was 0.0204 second.