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Colour perception graph for characters segmentation
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Intergrated Computer systems. Linköping University, The Institute of Technology. (KPLAB)ORCID iD: 0000-0003-3011-1505
2014 (English)In: Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings / [ed] George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Ryan McMahan, Jason Jerald, Hui Zhang, Steven M. Drucker, Chandra Kambhamettu, Maha El Choubassi, Zhigang Deng, Mark Carlson, Springer, 2014, 598-608 p.Conference paper (Refereed)
Abstract [en]

Characters recognition in natural images is a challenging problem, asit involves segmenting characters of various colours on various background. Inthis article, we present a method for segmenting images that use a colour percep-tion graph. Our algorithm is inspired by graph cut segmentation techniques andit use an edge detection technique for filtering the graph before the graph-cut aswell as merging segments as a final step. We also present both qualitative andquantitative results, which show that our algorithm perform at slightly better andfaster to a state of the art algorithm.

Place, publisher, year, edition, pages
Springer, 2014. 598-608 p.
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 8888
Keyword [en]
characters recognition
National Category
Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:liu:diva-112541DOI: 10.1007/978-3-319-14364-4_58ISI: 000354700300058ISBN: 978-3-319-14364-4ISBN: 978-3-319-14363-7OAI: diva2:767308
ISVC 2014
Swedish Research CouncilLinnaeus research environment CADICSeLLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationsSwedish Foundation for Strategic Research
Available from: 2014-12-01 Created: 2014-12-01 Last updated: 2015-12-10Bibliographically approved

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Berger, Cyrille
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