Reading and learning : adaptive content recognition

Reading and Learning: Adaptive Content Recognition
Author: Andreas Dengel, Markus Junker, Anette Weisbecker
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-21904-0
DOI: 10.1007/b96988

Table of Contents:

• Error Tolerant Color Deskew
• Adaptive Threshold
• Neighbourhood Related Color Segmentation Based on a Fuzzy Color Classification TooL
• Improving Image Processing Systems by Artificial Neural Networks
• Adaptive Segmentation of Multicoloured Documents without a Marked Background
• Recognition of Short Handwritten Texts
• Handwritten Address Recognition Using Hidden Markov Models
• Adaptive Combination of Commercial OCR Systems
• Component-Based Software Engineering Methods for Systems in Document Recognition, Analysis, and Understanding
• A Component-Based Framework for Recognition Systems
• smartFIX: An Adaptive System for Document Analysis and Understanding
• How Postal Address Readers Are Made Adaptive
• A Tool for Semi-automatic Document Reengineering
• Inspecting Document Collections
• Introducing Query Expansion Methods for Collaborative Information Retrieval
• Improving Document Transformation Techniques with Collaborative Learned Term-Based Concepts
• Passage Retrieval Based on Density Distributions of Terms and Its Applications to Document Retrieval and Question Answering
• Results of a Survey about the Use of Tools in the Area of Document Management

"This book presents major research and development findings achieved in the project Adaptive READ funded by the German Federal Ministry of Education and Research"--P. [4] of cover
Includes bibliographical references and author index