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http://dx.doi.org/10.5392/IJoC.2014.10.3.035

Text Line Segmentation using AHTC and Watershed Algorithm for Handwritten Document Images  

Oh, KangHan (School of Electronics and Computer Engineering Chonnam National University)
Kim, SooHyung (School of Electronics and Computer Engineering Chonnam National University)
Na, InSeop (School of Electronics and Computer Engineering Chonnam National University)
Kim, GwangBok (School of Electronics and Computer Engineering Chonnam National University)
Publication Information
International Journal of Contents / v.10, no.3, 2014 , pp. 35-40 More about this Journal
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;
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