- P-ISSN1738-6764
- E-ISSN2093-7504
- KCI
ISSN : 1738-6764
Text Line Segmentation using AHTC and Watershed Algorithm for Handwritten Document Images
Text Line Segmentation using AHTC and Watershed Algorithm for Handwritten Document Images
INTERNATIONAL JOURNAL OF CONTENTS / INTERNATIONAL JOURNAL OF CONTENTS, (P)1738-6764; (E)2093-7504
2014, v.10 no.3, pp.35-40
https://doi.org/10.5392/ijoc.2014.10.3.035
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)
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)
Oh, KangHan,
Kim, SooHyung,
Na, InSeop,
&
Kim, GwangBok.
(2014). Text Line Segmentation using AHTC and Watershed Algorithm for Handwritten Document Images. , 10(3), 35-40, https://doi.org/10.5392/ijoc.2014.10.3.035
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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