Abstract
Most of the developments in pattern recognition research have dealt with the decision-theoretic approach and its applications. In some pattern recognition problems, the structural information that describes each pattern is important, and the recognition process includes not only the capability of assigning the pattern to a particular class to classify it but also the capacity to describe a aspects of the pattern that make it ineligible for assignment to another class. To represent the hierarchical tree-like structural information of each pattern, that is, a pattern described in terms of simpler subpatterns and each simpler subpattern again be described in terms of even simpler subpatterns, etc., the linguistic syntactic or structural approach is discussed in the chapter. This approach draws an analogy between the hierarchical, tree-like structure of patterns and the syntax of languages. For this approach to be advantageous, the simplest subpatterns selected, called pattern primitives, should be much easier to recognize than the patterns themselves.
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