An improved parallel thinning algorithm

Thinning algorithms often cause stroke distortions at the crosses or intersections of strokes, which lead to bad results in pattern recognition tasks. In order to overcome these drawbacks, this paper proposes an improved thinning algorithm. By considering the eight-neighbors of the contour pixels of...

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Bibliographic Details
Published in2016 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR) pp. 162 - 167
Main Authors Jianwei Dong, Wuhong Lin, Chao Huang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2016
Subjects
Algorithm design and analysis
Character recognition
Distortion
Handwriting recognition
Parallel thinning
Pre-thinning
Sequential thinning
Skeleton
Thinning
Wavelet analysis
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Summary:Thinning algorithms often cause stroke distortions at the crosses or intersections of strokes, which lead to bad results in pattern recognition tasks. In order to overcome these drawbacks, this paper proposes an improved thinning algorithm. By considering the eight-neighbors of the contour pixels of an image, it can produce a skeleton with good symmetry, control the large deformation at the crosses or intersections of strokes, and make a better skeleton more quickly. Moreover, it is practically immune to noise.
ISSN:2158-5709
DOI:10.1109/ICWAPR.2016.7731637