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Fuzzy direction pre-classification based feature extraction using Gabor wavelet transformation

  • Yin Fang*
  • , Chen Deyun
  • , Rui Wu
  • *Corresponding author for this work
  • Harbin University of Science and Technology
  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Text image from natural scene is usually low quality because of tilt or low resolution, which causes character recognition degraded. In this paper, a novel method of feature extraction based on fuzzy direction pre-classified is presented that makes use the direction selectivity of Gabor filters. The direction pre-classification of character strokes makes the selection of the direction more accurate. Experimental results show the method adjust to the text deformation.

Original languageEnglish
Title of host publicationICCASM 2010 - 2010 International Conference on Computer Application and System Modeling, Proceedings
PagesV13270-V13273
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 International Conference on Computer Application and System Modeling, ICCASM 2010 - Shanxi, Taiyuan, China
Duration: 22 Oct 201024 Oct 2010

Publication series

NameICCASM 2010 - 2010 International Conference on Computer Application and System Modeling, Proceedings
Volume13

Conference

Conference2010 International Conference on Computer Application and System Modeling, ICCASM 2010
Country/TerritoryChina
CityShanxi, Taiyuan
Period22/10/1024/10/10

Keywords

  • Feature extraction
  • Fuzzy direction pre-classification
  • Gabor wavelet

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