Billet character segmentation based on multiple feature decision

Hanyu Hong; Yijun Yang; Xiuhua Zhang

doi:10.1117/12.903046

8 December 2011 Billet character segmentation based on multiple feature decision

Hanyu Hong, Yijun Yang, Xiuhua Zhang

Proceedings Volume 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis; 80030D (2011) https://doi.org/10.1117/12.903046
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

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.

Citation Download Citation

Hanyu Hong, Yijun Yang, and Xiuhua Zhang "Billet character segmentation based on multiple feature decision", Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 80030D (8 December 2011); https://doi.org/10.1117/12.903046

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