- P-ISSN1738-6764
- E-ISSN2093-7504
- KCI
ISSN : 1738-6764
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
Kim, SooHyung
Na, InSeop
Kim, GwangBok
Kim, SooHyung
Na, InSeop
Kim, GwangBok
Oh,,
K.
, Kim,,
S.
, Na,,
I.
, &
Kim,,
G.
(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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