In this paper

we propose a new feature extraction method for handwritten Chinese character recognition. A Chinese character image is decomposed into four directional sub-images based on the analysis of its wavelet transform. With elastic meshing technique

features are extracted from the four sub-images respectively. Experimental results show that the proposed approach is very effective.