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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| Format: | Electronic eBook |
| Language: | English |
| Published: |
London :
Springer London : Imprint: Springer,
2014.
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| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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- Digital Library Projects and Historical Documents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.
