Structured Document Image AnalysisHenry S. Baird, Horst Bunke, Kazuhiko Yamamoto 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. |
Contents
Towards the Understanding of Printed Documents | 3 |
An Experimental Implementation of a Document Recognition System | 36 |
Towards a Structured Document Image Utility | 54 |
Copyright | |
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Other editions - View all
Structured Document Image Analysis Henry S. Baird,Horst Bunke,Kazuhiko Yamamoto Limited preview - 2012 |
Structured Document Image Analysis Henry S. Baird,Horst Bunke,Kazuhiko Yamamoto No preview available - 1992 |
Structured Document Image Analysis Henry S. Baird,Horst Bunke,Kazuhiko Yamamoto No preview available - 2011 |
Common terms and phrases
algorithm applied approach arrowhead automatic binary binary image black pixels block Borda count candidate character recognition classifier combination Computer Vision contour corresponding curve decision tree defined described detection distance document analysis document image engineering drawings entities example extracted function geometric global grammar graph graphics handwritten horizontal Hough transform ICPR IEEE IEEE Trans image analysis Image Processing input interpretation knowledge Labanotation labeling layout line segments logical objects Machine matching method music notation music symbols node nonterminal note heads obtained optical character recognition parameters parse Pattern Recognition Pavlidis performance pixels preprocessing primitive sequences problem Proc recognition system recognized regions representation represented samples scanned score Section shape shown in Figure signature singular point staff lines staff-line string structure subset symbol recognition syntactic techniques template threshold tion touching characters tree vector vertex vertical Yacc
