A segmentation method of merged numerals by wavelet analysis and GVF model

Jian Jia Pan*, Yuan Yan Tang

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR
PublisherIEEE
Pages502-506
Number of pages5
Volume2
ISBN (Electronic)9781424422395
ISBN (Print)9781424422388
DOIs
Publication statusPublished - 30 Aug 2008
Event2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2008 - Hong Kong, China
Duration: 30 Aug 200831 Aug 2008

Publication series

NameProceedings of the International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR
PublisherIEEE
ISSN (Print)2158-5695
ISSN (Electronic)2158-5709

Conference

Conference2008 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2008
Country/TerritoryChina
CityHong Kong
Period30/08/0831/08/08

User-Defined Keywords

  • GVF model
  • Merged numeral
  • Segmentation
  • Wavelet analysis

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