Shape recognition using fast boosted filtering

YY Lin*, TL Liu

*Corresponding author for this work

研究成果: Conference contribution同行評審

摘要

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.

原文English
主出版物標題2005 International Conference on Image Processing (ICIP), Vols 1-5
發行者IEEE
頁面2277-2280
頁數4
ISBN(列印)0-7803-9134-9
DOIs
出版狀態Published - 2005
事件IEEE International Conference on Image Processing (ICIP 2005) - Genoa, Italy
持續時間: 11 九月 200514 九月 2005

出版系列

名字IEEE International Conference on Image Processing (ICIP)
發行者IEEE
ISSN(列印)1522-4880

Conference

ConferenceIEEE International Conference on Image Processing (ICIP 2005)
國家Italy
城市Genoa
期間11/09/0514/09/05

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