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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/2144


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/2144


    Title: Model-guided attributed string matching by split-and-merge for shape recognition
    Authors: Tsay, Yih-Tay
    Tsai, Wen-Hsiang
    Contributors: Asia University
    Date: 1989
    Issue Date: 2009-10-23 14:07:09 (UTC+8)
    Abstract: Due to noise and distortion, segmentation uncertainty is a key problem in structural pattern analysis. In this paper the authors propose the use of the split operation for shape recognition by attributed string matching. After illustrating the disadvantage of attributed string matching using the merge operation, the split operation is proposed. Under the guidance of the model shape, an input shape can be reapproximated, using the split operation, into a new attributed string representation. By combining the split and the merge operations for shape matching it is unnecessary to apply any type of edit operation to a model shape. This makes the distance between the input shape and the model shape more meaningful and stable, and improves recognition results. An algorithm for attributed string matching by split-and-merge is proposed.
    Relation: INT. J. PATTERN RECOG. ARTIF. INTELL. 3(2):159-179
    Appears in Collections:[資訊工程學系] 期刊論文

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