Summary
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A New Conic Section Extraction Approach and Its Applications John GATES Miki HASEYAMA Hideo KITAJIMA Publication IEICE TRANSACTIONS on Information and Systems Vol.E88-D No.2 pp.239-251 Publication Date: 2005/02/01 Online ISSN: DOI: 10.1093/ietisy/e88-d.2.239 Print ISSN: 0916-8532 Type of Manuscript: PAPER Category: Pattern Recognition Keyword: conic section, ellipse, parabola, hyperbola, katakana character recognition, Full Text: PDF(1.2MB)>>
Summary: 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. | ||||||||||
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