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Text Line Segmentation using AHTC and Watershed Algorithm for Handwritten Document Images
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  • Journal title : International Journal of Contents
  • Volume 10, Issue 3,  2014, pp.35-40
  • Publisher : The Korea Contents Association
  • DOI : 10.5392/IJoC.2014.10.3.035
 Title & Authors
Text Line Segmentation using AHTC and Watershed Algorithm for Handwritten Document Images
Oh, KangHan; Kim, SooHyung; Na, InSeop; Kim, GwangBok;
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 Abstract
Text line segmentation is a critical task in handwritten document recognition. In this paper, we propose a novel text-line-segmentation method using baseline estimation and watershed. The baseline-detection algorithm estimates the baseline using Adaptive Head-Tail Connection (AHTC) on the document. Then, the watershed method segments the line region using the baseline-detection result. Finally, the text lines are separated by watershed result and a post-processing algorithm defines the lines more correctly. The scheme successfully segments text lines with 97% accuracy from the handwritten document images in the ICDAR database.
 Keywords
Watershed;Text Line Segmentation;Handwritten Document;
 Language
English
 Cited by
 References
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