DocumentCode
2098135
Title
An Example-Based Method of Touching String Segmentation
Author
Zhao, Hong ; Yang, Gang ; Ma, Yong ; Liu, Long
Author_Institution
Coll. of Math. & Comput. Sci., Hebei Univ., Baoding, China
fYear
2012
fDate
11-13 May 2012
Firstpage
808
Lastpage
812
Abstract
In the work, an example-based method of touching string segmentation is proposed. Using Markov random field, the candidate patches based on the compatibility of the neighbour patches are selected. The outputs of the MRF after the iterative belief propagation form a segmentation probability map. The cut position is extracted from the map. Experiment results are presented and demonstrate the effectiveness of our algorithm.
Keywords
Markov processes; image segmentation; iterative methods; probability; Markov random field; candidate patches; example-based method; iterative belief propagation; segmentation probability map; string segmentation touching; Belief propagation; Conferences; Databases; Educational institutions; Image segmentation; Markov random fields; Training; belief propagation; markov random field; optical character recognition; touching string segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Communication Systems and Network Technologies (CSNT), 2012 International Conference on
Conference_Location
Rajkot
Print_ISBN
978-1-4673-1538-8
Type
conf
DOI
10.1109/CSNT.2012.175
Filename
6200748
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