A New Conic Section Extraction Approach and Its Applications(Pattern Recognition)
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概要
- 論文の詳細を見る
This paper presents a new conic section extraction approach that can extract all conic sections (lines, circles, ellipses, parabolas and hyperbolas) simultaneously. This approach is faster than the conventional approaches with a computational complexity that is O(n), where n is the number of edge pixels, and is robust in the presence of moderate levels of noise. It has been combined with a classification tree to produce an offline character recognition system that is invariant to scale, rotation, and translation. The system was tested with synthetic images and with images scanned from real world sources with good results.
- 社団法人電子情報通信学会の論文
- 2005-02-01
著者
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HASEYAMA Miki
Graduate School of Information Science and Technology, Hokkaido University
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Gates John
Tokyo National College Of Technology
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Haseyama Miki
Graduate School Of Information Science And Technology Hokkaido University
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KITAJIMA Hideo
Graduate School of Engineering, Hokkaido University
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Kitajima Hideo
Graduate School Of Engineering Hokkaido University
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Haseyama Miki
Graduate School Of Engineering Hokkaido University
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