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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Doermann, David (Επιμελητής έκδοσης), Tombre, Karl (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London : Imprint: Springer, 2014.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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  • Digital Library Projects and Historical Documents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.