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An efficient algorithm for smoothing, linearization and detection of structural feature points of binary image contours

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Indexed by:期刊论文

Date of Publication:1997-01-01

Journal:Pattern Recognition

Included Journals:Scopus

Volume:30

Issue:1

Page Number:57-69

ISSN No.:00313203

Abstract:In this paper, an efficient algorithm is developed for smoothing, linearization and detection of structural feature points of binary image contours. Using this algorithm, we can remove noisy pixels along a contour, decompose the contour into a set of straight lines, and detect structural feature points which correspond to convex and concave segments along the contour. Our algorithm only involves operations on contour chain codes and does not require float point calculations, thus it can be efficiently implemented. We have tested our method with handwritten character images. Copyright ? 1996 Pattern Recognition Society. Published by Elsevier Science Ltd.

Pre One:Separation of single- and double-touching handwritten numeral strings based on structural analysis