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Proceedings Paper

Billet character segmentation based on multiple feature decision
Author(s): Hanyu Hong; Yijun Yang; Xiuhua Zhang
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Paper Abstract

The characters at the billet ends are connected and broken due to the complex scene. Good segmentation of these connected and broken characters is very important in the characters recognition. However, it's difficult for the existing segmentation algorithm to deal with these connected and broken characters. A segmentation algorithm based on multiple feature decision is proposed to divide the connected and broken billet characters. It operates by projection to divide the characters roughly and then multiple feature decision to judge and divide the connected and broken characters. A series of segmentation experimental results show that the algorithm proposed is more effective than traditional segmentation algorithm in deal with the connected and broken characters.

Paper Details

Date Published: 8 December 2011
PDF: 6 pages
Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 80030D (8 December 2011); doi: 10.1117/12.903046
Show Author Affiliations
Hanyu Hong, Wuhan Institute of Technology (China)
Yijun Yang, Wuhan Institute of Technology (China)
Xiuhua Zhang, Wuhan Institute of Technology (China)


Published in SPIE Proceedings Vol. 8003:
MIPPR 2011: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Nong Sang, Editor(s)

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