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- W2376656469 abstract "To effectively identify and interpret ambiguous zones in handwritten Chinese image, a new method for handwritten stroke extraction based on ambiguous-zone detection is proposed. In the method, a candidate set of fork points are extracted using a thinning algorithm, and the ambiguous zones are detected according to the fork points and the contour beside them. Then, the sub-strokes and ambiguous zones can be modeled with a graph, and a Bayesian classifier is built to analyze the continuity of sub-stroke pairs. Finally, sequences of sub-stroke are achieved by searching paths in the graph, and thinned strokes can be retrieved by B-spline interpolation. Experimental results show that the proposed method is effective and accurate for both ambiguous-zone detection and stroke extraction compared to other methods and reduce the shape distortions in ambiguous zones to an acceptable level." @default.
- W2376656469 created "2016-06-24" @default.
- W2376656469 creator A5079018005 @default.
- W2376656469 date "2009-01-01" @default.
- W2376656469 modified "2023-09-23" @default.
- W2376656469 title "A Method for Handwritten Chinese Stroke Extraction Based on Ambiguous-zone Detection" @default.
- W2376656469 hasPublicationYear "2009" @default.
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