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A segmentation method of merged numerals by wavelet analysis and GVF model
JIAN-JIA PAN; YUAN-YAN TANG
2008-12-01
Conference Name2008 International Conference on Wavelet Analysis and Pattern Recognition
Source PublicationProceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR
Volume2
Pages502-506
Conference Date30-31 Aug. 2008
Conference PlaceHong Kong
CountryChina
PublisherIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Abstract

Aiming for some limit of the recognition-free approach to the segment merged numerals, a new segmentation method is proposed based on GVF mode in this paper. Firstly, this paper presents a new segment model based on wavelet multi-scale analysis and GVF model, and then we apply this energy model to segment the merged numerals. This method got the candidate segment line by contour method, and then confirmed the segment path based on energy model. The segmented digits have a more natural shape than others. 

KeywordGvf Model Merged Numeral Segmentation Wavelet Analysis
DOIhttps://doi.org/10.1109/ICWAPR.2008.4635832
URLView the original
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000260168200092
Fulltext Access
Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationDepartment of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong
Recommended Citation
GB/T 7714
JIAN-JIA PAN,YUAN-YAN TANG. A segmentation method of merged numerals by wavelet analysis and GVF model[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA,2008:502-506.
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