Document analysis systems II

Author(s)

Bibliographic Information

Document analysis systems II

editors, Jonathan J. Hull, Suzanne L. Taylor

(Series in machine perception and artificial intelligence / editors, H. Bunke, P.S.P. Wang, vol. 29)

World Scientific, c1998

Available at  / 8 libraries

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Includes bibliographical references and index

Description and Table of Contents

Description

This book provides an overview of the state of the art in research and development of systems for document image analysis. Topics covered include a variety of systems and architectures for processing document images as well as methods for converting those images into formats that can be manipulated by a computer. The chapters are written by recognized experts in the field and describe Systems and Architectures, Recognition Techniques, Graphics Analysis, Document Image Retrieval, and World Wide Web Applications.

Table of Contents

  • Evaluating the performance of techniques for the extraction of primitives from line drawings composed of horizontal and vertical lines, J.F. Arias et al
  • the development of a general framework for intelligent document image retrieval, D. Doermann et al
  • perdition of OCR accuracy using a neural network, J. Gonzalez et al
  • evaluating Japanese document recognition in the Internet/intranet environment, T. Hong et al
  • DocBrowse - a system for textual and graphical querying on degraded document image data, M.Y. Jaisimha et al
  • language identification in complex, unoriented and degraded document images, D. Lee et al
  • document analysis and the World Wide Web, D. Lopresti and J. Zhou
  • language-independent and segmentation-free optical character recognition, J. Makhoul et al
  • documents on the move - DA&IR-driven mail piece processing today and tomorrow, U. Miletzki
  • priming the recognizer, G. Nagy and Y. Xu
  • semiautomatic production of highly accurate word bounding box ground truth, R.P. Rogers et al
  • SPAM - a scientific paper access method, A.L. Spitz
  • automated CAD conversion with the machine drawing understanding system, L. Wenyin and D. Dori. (Part contents)

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