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Journal of Electronic Imaging

Southeast Asian palm leaf manuscript images: a review of handwritten text line segmentation methods and new challenges
Author(s): Made W. A. Kesiman; Dona Valy; Jean-Christophe Burie; Erick Paulus; I. Made Gede Sunarya; Setiawan Hadi; Kim Heng Sok; Jean-Marc Ogier
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Paper Abstract

Due to their specific characteristics, palm leaf manuscripts provide new challenges for text line segmentation tasks in document analysis. We investigated the performance of six text line segmentation methods by conducting comparative experimental studies for the collection of palm leaf manuscript images. The image corpus used in this study comes from the sample images of palm leaf manuscripts of three different Southeast Asian scripts: Balinese script from Bali and Sundanese script from West Java, both from Indonesia, and Khmer script from Cambodia. For the experiments, four text line segmentation methods that work on binary images are tested: the adaptive partial projection line segmentation approach, the A* path planning approach, the shredding method, and our proposed energy function for shredding method. Two other methods that can be directly applied on grayscale images are also investigated: the adaptive local connectivity map method and the seam carving-based method. The evaluation criteria and tool provided by ICDAR2013 Handwriting Segmentation Contest were used in this experiment.

Paper Details

Date Published: 17 November 2016
PDF: 15 pages
J. Electron. Imaging. 26(1) 011011 doi: 10.1117/1.JEI.26.1.011011
Published in: Journal of Electronic Imaging Volume 26, Issue 1
Show Author Affiliations
Made W. A. Kesiman, Univ. de La Rochelle (France)
Univ. of Pendidikan Ganesha (Indonesia)
Dona Valy, Institute of Technology of Cambodia (Cambodia)
Univ. Catholique de Louvain (Belgium)
Jean-Christophe Burie, Univ. de La Rochelle (France)
Erick Paulus, Univ. Padjadjaran (Indonesia)
I. Made Gede Sunarya, Univ. of Pendidikan Ganesha (Indonesia)
Setiawan Hadi, Univ. Padjadjaran (Indonesia)
Kim Heng Sok, Institute of Technology of Cambodia (Cambodia)
Jean-Marc Ogier, Univ. de La Rochelle (France)


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