The book consists of individual chapters written by different authors. The chapters are grouped into broader subject areas like "Syntactic Representation and Parsing", "Structural Representation and Matching", "Learning", etc. Each chapter is a self-contained presentation of one particular topic. In order to keep the original flavor of each contribution, no efforts were undertaken to unify the different chapters with respect to notation. Naturally, the self-containedness of the individual chapters results in some redundancy. However, we believe that this handicap is compensated by the fact that each contribution can be read individually without prior study of the preceding chapters. A unification of the spectrum of material covered by the individual chapters is provided by the subject and author index included at the end of the book.

Contents:

• Introduction and Overview (M G Thomason)
• String Grammars for Syntactic Pattern Recognition (H Bunke)
• Parsing and Error-Correcting Parsing for String Grammars (E Tanaka )
• Array, Tree, and Graph Grammars (A Rosenfeld)
• String Matching for Structural Pattern Recognition (H Bunke)
• Matching Tree Structures (A Sanfeliu)
• Matching Relational Structures Using Discrete Relaxation (L G Shapiro & R M Haralick)
• Random Graphs (A K C Wong et al.)
• Grammatical Inference (L Miclet)
• An Algorithm for Inferring Context-Free Array Grammars (P S P Wang & X W Dai)
• Hybrid Pattern Recognition Methods (H Bunke)
• Combining Statistical and Structural Methods (W H Tsai)
• Industrial Applications (H S Baird)
• Three-Dimensional Object Recognition by Attributed Graphs (E K Wong)
• Chinese Character Recognition (J W Tai & Y J Liu)
• Table Driven Parsing for Shape Analysis (T C Henderson & A Samal)
• A General Purpose Line Drawing Analysis System (R Mohr)
• ECG Analysis (E Skordalakis)