Text line segmentation and binarization of handwritten historical documents using the fast and adaptive bidimensional empirical mode decomposition-Reference-Cited by-同舟云学术

Text line segmentation and binarization of handwritten historical documents using the fast and adaptive bidimensional empirical mode decomposition

Published:2019-07 Issue: Volume:188 Page:52-63
ISSN:0030-4026
Container-title:Optik
language:en
Short-container-title:Optik

Author:

Mohamed Dyla M.H.^ORCID,Morain-Nicolier F.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference20 articles.

1. Text line segmentation of historical documents: a survey;Laurence Likforman-Sulem;Int. J. Document Anal. Recognit.,2007

2. Segmentation of Arabic handwritten text to lines;Younes;The International Conference on Advanced Wireless, Information, and Communication Technologies (AWICT 2015) Procedia Computer Science,2015

3. Off-line handwriting text line segmentation: a review;Razak;Int. J. Comput. Sci. Netw. Secur.,2008

4. Icdar2007 handwriting segmentation contest;Gatos;Proceedings of International Conference on Document Analysis and Recognition,2007

5. A statistical approach to line segmentation in handwritten documents;Arivazhagan;Proceedings of SPIE,2007

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