Structural Pattern Analysis

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--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.Contents: 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 Gmr 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)Readership: Computer scientists.