edited by R Mohr (LIFIA-IMAG, Grenoble), Th Pavlidis (SUNY, Stonybrook), & A Sanfeliu (Univ. Politècnica, Barcelona)

This book contains a selection of 14 papers presented at the workshop organised by the International Association for Pattern Recognition (IAPR) Technical Committee on Syntactical and Structural Pattern Recognition, at Pont-à-Mousson, 1988. These papers which have been expanded, focus on both fundamental aspects and applications. They show that structural methods are a good framework for integrating both symbolic and numerical knowledge for modeling, recognition and also learning. The applications described are on document analysis, speech and image analysis.

• Parsing Multivalued Strings and its Application to Image and Waveform Recognition (H Bunke & D Pasche)
• 3-D Object Recognition Based on Subgraph Matching in Polynomial Time (E Gmür & H Bunke)
• Feature Grouping: A Way to Deterministic Matching (R Mohr et al.)
• On the Use of an Ear Model and Multi-Layered Networks for Automatic Speech Recognition (R de Mori et al.)
• Hierarchical Cooperation Between Numerical and Symbolic Image Representation (G Paar & W Kropatsch)
• The Pattern Complex (R M Haralick)
• Inductive Learning of Finite-State Transducers for the Interpretation of Unidimensional Objects (E Vidal et al.)
• Matching Complex Structures: The Cyclic Tree Representation Scheme (A Sanfeliu)
• Global-to-Local Layout Analysis (H S Baird)
• An Entity Extractor for Images of Engineering Drawings (S H Joseph)
• Analysis of Technical Documents Using a priori Knowledge (K Tombre & D Antoine)
• A Knowledge Based Industrial Vision System (H Niemann et al.)
• Use of Shadows for Extracting Buildings in Aerial Images (Y T Liow & Th Pavlidis)
• A Syntactic Approach to Document Segmentation (M Viswanathan & M Krishnamoorthy)