Segmentation of Single- or Multiple-Touching Handwritten Numeral String Using Background and Foreground Analysis

@article{Chen2000SegmentationOS,
  title={Segmentation of Single- or Multiple-Touching Handwritten Numeral String Using Background and Foreground Analysis},
  author={Yi-Kai Chen and Jhing-Fa Wang},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  year={2000},
  volume={22},
  pages={1304-1317}
}
ÐA new approach of segmenting singleor multiple-touching handwritten numeral string (two-digits) is proposed. Most algorithms for segmenting connected digits mainly focus on the analysis of foreground pixels. Some concentrated on the analysis of background pixels only and others are based on a recognizer. In this paper, we combine background and foreground analysis to segment singleor multiple-touching handwritten numeral strings. Thinning of both foreground and background regions are first… CONTINUE READING
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Key Quantitative Results

  • Experimental results on NIST special database 19 (an update of NIST special database 3) and some other images collected by ourselves show that our algorithm can get a correct rate of 96 percent with rejection rate of 7.8 percent, which compares favorably with those reported in the literature.

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