Structured Document Image Analysis

Henry S. Baird

ISBN 10: 3642772838 / ISBN 13: 9783642772832

Editore: Springer Berlin Heidelberg Dez 2011, 2011

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This item is printed on demand - it takes 3-4 days longer - Neuware -Document image analysis is the automatic computerinterpretation of images of printed and handwrittendocuments, including text, drawings, maps, music scores,etc. Research in this field supports a rapidly growinginternational industry. This is the first book to offer abroad selection of state-of-the-art research papers,including authoritative critical surveys of the literature,and parallel studies of the architectureof completehigh-performance printed-document reading systems. A uniquefeature is the extended section on music notation, an idealvehicle for international sharing of basic research. Also,the collection includes important new work on line drawings,handwriting, character and symbol recognition, and basicmethodological issues. The IAPR 1990 Workshop on Syntacticand Structural Pattern Recognition is summarized,includingthe reports of its expert working groups, whose debatesprovide a fascinating perspective on the field.The book is an excellent text for a first-year graduateseminar in document image analysis,and is likely to remaina standard reference in the field for years. 600 pp. Englisch.

Codice articolo 9783642772832

Dati bibliografici

• Titolo: Structured Document Image Analysis
• Editore: Springer Berlin Heidelberg Dez 2011
• Data di pubblicazione: 2011
• Lingua: Inglese
• ISBN 10: 3642772838
• ISBN 13: 9783642772832
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

The state of the art in document image analysis - the computer interpretation of images of text, line drawings, maps, music scores, etc. - is captured in this unique collection. It is both a reliable reference for the researcher and an excellent text for a graduate seminar.

Contenuti

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 Using Logic-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.