Voronoi diagram based handwritten word segmentation

Bingcheng Li

doi:10.1117/12.2621699

27 May 2022 Voronoi diagram based handwritten word segmentation

Bingcheng Li

Proceedings Volume 12101, Pattern Recognition and Tracking XXXIII; 1210109 (2022) https://doi.org/10.1117/12.2621699
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

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.

Conference Presentation

Citation Download Citation

Bingcheng Li "Voronoi diagram based handwritten word segmentation", Proc. SPIE 12101, Pattern Recognition and Tracking XXXIII, 1210109 (27 May 2022); https://doi.org/10.1117/12.2621699

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