Shape recognition using fast boosted filtering

YY Lin*, TL Liu

*Corresponding author for this work

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

Abstract

We address the problem of recognizing 2-D shapes in images via multi-class classifications. Our approach has three key elements. First, a signed distance transform is introduced to represent a shape more informatively. Second, a filter bank is generated such that its filters can capture mulfiple-scale local and global features between two shapes of different classes. We then apply boosting to combine useful filters to construct discriminant classifiers. Third, in implementing our system, a new classification architecture is developed to accomplish multi-class recognition. To examine the claimed efficiencies, we consider an example of document recognition by pinpointing the strengths of our method through experimental results and comparisons.

Original languageEnglish
Title of host publication2005 International Conference on Image Processing (ICIP), Vols 1-5
PublisherIEEE
Pages2277-2280
Number of pages4
ISBN (Print)0-7803-9134-9
DOIs
StatePublished - 2005
EventIEEE International Conference on Image Processing (ICIP 2005) - Genoa, Italy
Duration: 11 Sep 200514 Sep 2005

Publication series

NameIEEE International Conference on Image Processing (ICIP)
PublisherIEEE
ISSN (Print)1522-4880

Conference

ConferenceIEEE International Conference on Image Processing (ICIP 2005)
CountryItaly
CityGenoa
Period11/09/0514/09/05

Keywords

  • REPRESENTATION

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