Reading and Learning: Adaptive Content Recognition

ISBN-13: 9783540219040 / Angielski / Miękka / 2004 / 356 str.

Andreas R. Dengel; Andreas R. Dengel; Markus Junker

Opis

This book presents major research and development findings achieved in the project Adaptive READ funded by the German Federal Ministry of Education and Research.

Beyond techniques and systems for reading and recording documents, the emphasis of this project and the resulting book is rather on the formulation and prototype-style implementation of concepts to make document analysis systems adaptive in real-world scenarios. Furthermore, learning techniques are presented allowing for efficient content recognition and intelligent retrieval of information.

Spis treści

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.

O autorze

Prof. Dr. Andreas Dengel ist Wissenschaftlicher Direktor am Deutschen Forschungszentrum für Künstliche Intelligenz (DFKI) in Kaiserslautern, Professor für Informatik an der Technischen Universität Kaiserslautern und Honorarprofessor am Dept. of Computer Science and Intelligent Systems der Graduate School of Engineering an der Osaka Prefecture University und arbeitet mit seiner Gruppe seit vielen Jahren auf dem Gebiet Semantischer Technologien.