Figure 2.3: Statistical and structural approaches to pattern recognition applied to a common identification problem. The goal is to discriminate between the square and the triangle. A statistical approach extracts quantitative features which are then assembled into feature vectors for classification with a decision-theoretic classifier. A structural approach extracts morphological features and their interrelationships, encoding them in relational graphs; classification is performed by parsing the relational graphs with syntactic grammars.