The amounts of information that are ?ooding people both at the workplace and in private life have increased dramatically in the past ten years. The number of paper documents doubles every four years, and the amount of information stored on all data carriers every six years. New knowledge, however, increases at a considerably lower rate. Possibilities for automatic content recognition in various media and for the processing of documents are therefore becoming more important every day. Especially in economic terms, the e?cient handling of information, i.e., ?- ing the right information at the right time, is an invaluable resource for any enterprise, but it is particularly important for small- and medium-sized ent- prises. The market for document management systems, which in Europe had a volume of approximately 5 billion euros in 2000, will increase considerably over the next few years. The BMBF recognized this development at an early stage. As early as in 1995, it pooled national capabilities in this ?eld in order to support research on the automatic processing of information within the framework of a large collaborative project (READ) involving both industrial companies and research centres. Evaluation of the results led to the conclusion that research work had been successful, and, in a second phase, funding was provided for the colla- rative follow-up project Adaptive READ from 1999 to 2003. The completion of thesetwoimportantlong-termresearchprojectshascontributedsubstantiallyto improving the possibilities of content recognition and processing of handwritten, printed and electronic documents.
Author(s): Dirk Woitha, Dietmar Janich (auth.), Andreas Dengel, Markus Junker, Anette Weisbecker (eds.)
Series: Lecture Notes in Computer Science 2956
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2004
Language: English
Pages: 356
Tags: Pattern Recognition; Information Storage and Retrieval; Information Systems Applications (incl.Internet); Artificial Intelligence (incl. Robotics); Document Preparation and Text Processing; Image Processing and Computer Vision
Front Matter....Pages -
Error Tolerant Color Deskew....Pages 1-13
Adaptive Threshold....Pages 14-25
Neighbourhood Related Color Segmentation Based on a Fuzzy Color Classification TooL....Pages 26-36
Improving Image Processing Systems by Artificial Neural Networks....Pages 37-64
Adaptive Segmentation of Multicoloured Documents without a Marked Background....Pages 65-90
Recognition of Short Handwritten Texts....Pages 91-102
Handwritten Address Recognition Using Hidden Markov Models....Pages 103-122
Adaptive Combination of Commercial OCR Systems....Pages 123-136
Component-Based Software Engineering Methods for Systems in Document Recognition, Analysis, and Understanding....Pages 137-152
A Component-Based Framework for Recognition Systems....Pages 153-165
smartFIX : An Adaptive System for Document Analysis and Understanding....Pages 166-186
How Postal Address Readers Are Made Adaptive....Pages 187-215
A Tool for Semi-automatic Document Reengineering....Pages 216-234
Inspecting Document Collections....Pages 235-251
Introducing Query Expansion Methods for Collaborative Information Retrieval....Pages 252-280
Improving Document Transformation Techniques with Collaborative Learned Term-Based Concepts....Pages 281-305
Passage Retrieval Based on Density Distributions of Terms and Its Applications to Document Retrieval and Question Answering....Pages 306-327
Results of a Survey about the Use of Tools in the Area of Document Management....Pages 328-354
Back Matter....Pages -