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.... S. Tsunekawa, and E. Kawamoto, aAn Automatic Circuit Diagram Reader with Loop-Structure-Based Symbol Recognition, a IEEE Trans. Pattern Analysis and Machine Intelligence, Vol PAMI-10, pp. 331-341, 1988. H. Bunke and G. Allermann, anbsp;...
|Title||:||Structured Document Image Analysis|
|Author||:||Henry S. Baird, Horst Bunke, Kazuhiko Yamamoto|
|Publisher||:||Springer Science & Business Media - 2012-12-06|