Handbook of Document Image Processing and Recognition

The Handbook of Document Image Processing and Recognition provides a consistent, comprehensive resource on the available methods and techniques in document image processing and recognition. It includes unified comparison and contrast analysis of algorithms in standard table formats. Thus, it educate...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Doermann, David (Editor ), Tombre, Karl (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Temas:
Computer vision.
Pattern recognition systems.
Natural language processing (Computer science).
Computer industry.
Computers-History.
Computer Vision.
Automated Pattern Recognition.
Natural Language Processing (NLP).
The Computer Industry.
History of Computing.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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  • Digital Library Projects and Historical Documents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.

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