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
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;
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2012 International Conference on
Conference_Location :
Rajkot
Print_ISBN :
978-1-4673-1538-8
DOI :
10.1109/CSNT.2012.175
