Del i serien Handbook of Document Image Processing and Recognition

Handbook of Document Image Processing and Recognition

Inbunden, Engelska, 2014

7 199 kr

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The Handbook of Document Image Processing and Recognition is a comprehensive resource on the latest methods and techniques in document image processing and recognition. Each chapter provides a clear overview of the topic followed by the state of the art of techniques used – including elements of comparison between them – along with supporting references to archival publications, for those interested in delving deeper into topics addressed. Rather than favor a particular approach, the text enables the reader to make an informed decision for their specific problems.

Produktinformation

Utgivningsdatum2014-05-21
Mått155 x 235 x 70 mm
Vikt1 967 g
FormatInbunden
SpråkEngelska
SerieHandbook of Document Image Processing and Recognition
Antal sidor1 055
Upplaga2014
FörlagSpringer London Ltd
ISBN9780857298584

Tillhör följande kategorier

Grafik och bildbehandling inom Data och IT
Systemvetenskap och AI inom Data och IT
Media och underhållning inom Ekonomi och Ledarskap
Artificiell intelligens inom Data och IT

Dr. David Doermann is Senior Research Scientist and Director of the Laboratory for Language and Media Processing at the University of Maryland Institute for Advanced Computer Studies, College Park, MD, USA. He is also President and co-founder of Applied Media Analysis, Inc., and Editor-in-Chief of the International Journal on Document Analysis and Recognition. Dr. Karl Tombre is Professor at Ecole des Mines de Nancy (Institut National Polytechnique de Lorraine), Villers-les-Nancy, France, and on secondment to Institut National de Recherche en Informatique et an Automatique (INRIA), where he is Director of the INRIA Nancy - Grand Est research center. He is also Editor-in-chief of the International Journal on Document Analysis and Recognition.

A Brief History of Documents and Writing Systems.- Document Creation, Image Acquisition and Document Quality.- Imaging Techniques in Document Analysis Processes.- Page Segmentation Techniques in Document Analysis.- Analysis of the Logical Layout of Documents.- Page Similarity and Classification.- Text Segmentation for Document Recognition.- Font, Script, and Language Recognition.- Handprinted Character and Word Recognition.- Continuous Handwritten Script Recognition.- Middle Eastern Character Recognition.- Asian Character Recognition.- Post-processing of OCR-ed text.- Graphics Recognition Techniques.- An Overview of Symbol Recognition.- Analysis and Interpretation of Graphical Documents.- Logo and Trademark Recognition.- Recognition of Tables and Forms.- Processing Mathematical Notation.- Document Analysis in Postal Applications and Check Processing.- Digital Library Projects and Historical Documents.- Analysis and Recognition of Music Scores.- Document Analysis for Biometrics and Forensics.- Analysis of Documents Born Digital.- Image Based Retrieval and Keyword Spotting in Documents.- Text Localization and Recognition in Images and Video.- Online Handwriting Recognition.- Online Signature Verification.- Sketching Interfaces.- Datasets and Annotations for Document Analysis and Recognition.- Tools and Metrics for Document Analysis Systems Evaluation.

From the book reviews: "This edited compendium of chapters represents the largest effort to date to bring together the breadth and depth of image processing research for document text extraction, segmentation of document image into picture and text zones, and general optical character recognition (OCR) of the international family of foreign languages. ... will appeal to the widest audience possible, including academicians, practitioners, library science and legal professionals, and all who are interested in the efficient storage and retrieval of vast numbers of documents." (R. Goldberg, Computing Reviews, October, 2014)