Handwritten Numeral String Recognition with Stroke Grouping


In this paper, a framework for off-line handwritten numeral string recognition based on stroke grouping is proposed. In our approach, strokes are aligned into a sequence of strokes and then segmentation process is performed to partition strokes in the sequence into possible-digits, that is, groups of strokes which may be possibly a digit. As the result of stroke grouping, grouping-hypotheses, which imply possible segmentation, are generated. An input numeral string is recognized by dynamic programming scheme, in which the best grouping-hypothesis with maximum matching score is chosen. The framework also provides systematic way of reducing computational complexity by embedding external knowledge into the framework. The experimental results to evaluate the proposed framework are shown.

DOI: 10.1109/ICDAR.1999.791895

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@inproceedings{Cheong1999HandwrittenNS, title={Handwritten Numeral String Recognition with Stroke Grouping}, author={Chan E. Cheong and Ho-Yon Kim and Jang-Won Suh and H. Kim}, booktitle={ICDAR}, year={1999} }