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Fourth International Conference Document Analysis and Recognition (ICDAR'97)
Finding structure in diversity: a hierarchical clustering method for the categorization of allographs in handwriting
Ulm, GERMANY
August 18-August 20
ISBN: 0-8186-7898-4
L. Vuurpijl, Inst. for Cognition & Inf., Nijmegen Univ., Netherlands
L. Schomaker, Inst. for Cognition & Inf., Nijmegen Univ., Netherlands
The paper introduces a variant of agglomerative hierarchical clustering techniques. The new technique is used for categorizing character shapes (allographs) in large data sets of handwriting into a hierarchical structure. Such a technique may be used as the basis for a systematic naming scheme of character shapes. Problems with existing methods are described and the proposed method is explained. After application of the method to a very large set of characters, separately for all the letters of the alphabet, relevant clusters are identified and given a unique name. Each cluster represents an allograph prototype.
Index Terms:
character sets; allograph categorization; handwriting; agglomerative hierarchical clustering techniques; character shape categorization; large data sets; systematic naming scheme; character shapes; character set
Citation:
L. Vuurpijl, L. Schomaker, "Finding structure in diversity: a hierarchical clustering method for the categorization of allographs in handwriting," icdar, pp.387, Fourth International Conference Document Analysis and Recognition (ICDAR'97), 1997
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