Automatic segmentation for Arabic characters in handwriting documents

Lawgali, A, Bouridane, A, Angelova Turkedjieva, Maia and Ghassemlooy, Z 2011, Automatic segmentation for Arabic characters in handwriting documents, in ICIP 2011 : Proceedings of the 2011 18th IEEE International Conference on Image Processing, Institute of Electrical and Electronics Engineers, Piscataway, N.J., pp. 3529-3532, doi: 10.1109/ICIP.2011.6116476.

Attached Files
Name Description MIMEType Size Downloads

Title Automatic segmentation for Arabic characters in handwriting documents
Author(s) Lawgali, A
Bouridane, A
Angelova Turkedjieva, MaiaORCID iD for Angelova Turkedjieva, Maia orcid.org/0000-0002-0931-0916
Ghassemlooy, Z
Conference name IEEE Signal Processing Society. Conference (18th : 2011 : Brussels, Belgium)
Conference location Brussels, Belgium
Conference dates 2011/09/11 - 2011/09/14
Title of proceedings ICIP 2011 : Proceedings of the 2011 18th IEEE International Conference on Image Processing
Editor(s) [Unknown]
Publication date 2011
Series IEEE Signal Processing Society Conference
Start page 3529
End page 3532
Total pages 4
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Keyword(s) Arabic character segmentation
databases
shape
handwriting recognition
image segmentation
skeleton
noise
ISBN 9781457713033
ISSN 1522-4880
Language eng
DOI 10.1109/ICIP.2011.6116476
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2011, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30095867

Document type: Conference Paper
Collections: School of Information Technology
2018 ERA Submission
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 5 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 78 Abstract Views, 10 File Downloads  -  Detailed Statistics
Created: Wed, 18 Oct 2017, 14:55:26 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.