Structured Document Image Analysis

Document image analysis is the automatic computer interpretation of images of printed and handwritten documents, including text, drawings, maps, music scores, etc. Research in this field supports a rapidly growing international industry. This is the first book to offer a broad selection of state-of-the-art research papers, including authoritative critical surveys of the literature, and parallel studies of the architectureof complete high-performance printed-document reading systems. A unique feature is the extended section on music notation, an ideal vehicle for international sharing of basic research. Also, the collection includes important new work on line drawings, handwriting, character and symbol recognition, and basic methodological issues. The IAPR 1990 Workshop on Syntactic and Structural Pattern Recognition is summarized,including the reports of its expert working groups, whose debates provide a fascinating perspective on the field. The book is an excellent text for a first-year graduate seminar in document image analysis,and is likely to remain a standard reference in the field for years.

Printed Documents.- Towards the Understanding of Printed Documents.- An Experimental Implementation of a Document Recognition System for Papers Containing Mathematical Expressions.- Towards a Structured Document Image Utility.- ANASTASIL: A System for Low-Level and High-Level Geometric Analysis of Printed Documents.- A Top-Down Approach to the Analysis of Document Images.- Analysis of Scanned Documents — a Syntactic Approach.- Character and Symbol Recognition.- Structural Analysis and Description of Curves by Quasi-Topological Features and Singular Points.- Combination of Decisions by Multiple Classifiers.- Resolving Ambiguity in Segmenting Touching Characters.- Handwriting.- Off-line Identification with Handwritten Signature Images: Survey and Perspectives.- Difficult Cases in Handwritten Numeral Recognition.- Recognition of Hand-Printed Chinese Characters and the Japanese Cursive Syllabary.- Regularities and Singularities in Line Pictures.- Graphics, Maps, and Technical Drawings.- An Overview of Techniques for Graphics Recognition.- High Quality Vectorization Based on a Generic Object Model.- Recognizing Hand-Drawn Electrical Circuit Symbols with Attributed Graph Matching.- Self-Structural Syntax-Directed Pattern Recognition of Dimensioning Components in Engineering Drawings.- Analysis of Technical Documents: The REDRAW System.- Music Notation.- A Critical Survey of Music Image Analysis.- A Recognition System for Printed Piano Music using Musical Knowledge and Constraints.- Automatic Recognition of Printed Music.- Automatic Recognition of Several Types of Musical Notation.- Methodology.- Syntactic and Structural Methods in Document Image Analysis.- Syntactic Analysis of Context—Free Plex Languages for Pattern Recognition.- Document Image Analysis UsingLogic-Grammar-Based Syntactic Pattern Recognition.- Document Image Defect Models.- IAPR 1990 Workshop on SSPR.- SSPR’90 Workshop Report.- Document Analysis: SSPR’90 Working Group Report.- Character Recognition: SSPR’90 Working Group Report.- Line Drawings, Feature Extraction, and Symbol Recognition: SSPR’90 Working Group Report.- Technical Drawing Analysis: SSPR’90 Working Group Report.- Recognition of Music Notation: SSPR’90 Working Group Report.- Syntactic Methods: SSPR’90 Working Group Report.- SSPR’90 Participants List.