Voronoi diagram based handwritten word segmentation
Bingcheng C. Li · 2022
Handwritten word segmentation is one of the important components in the offline handwritten word recognition systems and has attracted many researchers. In this paper, we propose a Voronoi diagram approach to segment a handwritten word into stroke elements for handwritten word recognitions. Different from the conventional thinning techniques, the Voronoi diagram approach is proposed to create the segmentation path. Then the Chebyshev distance transform is suggested for implementing the Voronoi diagram. Test results and theoretical analysis show that the proposed method is capable to create similar quality handwritten word segmentation as the conventional thinning approach with much lower computational cost.