DocumentCode
2127494
Title
Biomimetic segmentation of unconstrained touching numeral strings
Author
Jie, Ding ; Jing-yu, Yang
Author_Institution
Research Institute of Information and Communication, State Grid Electric Power Research Institute, Nanjing, China
fYear
2010
fDate
4-6 Dec. 2010
Firstpage
1073
Lastpage
1076
Abstract
This paper presents a new bionic segmentation method which chooses principal curves to extract strokes of characters and form the stroke sequence. The training sample space is constructed by the Affinity Propagation (AP) algorithm and Bionic Pattern Recognition (BPR) theory. The stroke sequence is divided by calculating the distance of each subsequence to the relative subspace. Experimental results indicate that the method is effective in the segmentation of unconstrained handwritten numeral strings.
Keywords
Character recognition; Classification algorithms; Complexity theory; Feature extraction; Handwriting recognition; Training; Affinity Propagation Clustering; bionic pattern recognition; principal curve; stroke sequence;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4244-7616-9
Type
conf
DOI
10.1109/ICISE.2010.5690392
Filename
5690392
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