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Pattern Recognition
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Structural pattern recognition is characterized by the representation of patterns in terms of symbolic data structures, such as strings, trees, and graphs. In this paper we review recent developments in this field. The focus of the paper will be on new methods that allow to transfer some well established procedures from statistical pattern recognition to the symbolic domain. Examples from visual form analysis will be given to demonstrate the feasibility of the proposed methods.