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Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


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Handbook of document image processing and recognition / [edited by] David Doermann and Karl Tombre.

Contributor(s): Publication details: London : Springer, 2014.Description: 2v. : illustrations (some color) ; 24 cmISBN:
  • 9780857298584
Subject(s): DDC classification:
  • 006.4 23 D652
Contents:
V: 1. 1. A Brief History of Documents and Writing Systems -- 2. Document Creation, Image Acquisition and Document Quality -- 3. The Evolution of document image analysis-- 4. Imaging Techniques in Document Analysis Processes -- 5.Page Segmentation Techniques in Document Analysis -- 6. Analysis of the Logical Layout of Documents -- 7. Page Similarity and Classification -- 8. Text Segmentation for Document Recognition -- 9. Language, script, and font recognition-- 10. Machine-printed character recognition-- 11. Handprinted Character and Word Recognition -- 12. Continuous Handwritten Script Recognition -- 13. Middle Eastern Character Recognition -- 14. Asian Character Recognition -- V: 2 15. Graphics Recognition Techniques -- 16. An Overview of Symbol Recognition -- 17. Analysis and Interpretation of Graphical Documents -- 18. Logo and Trademark Recognition -- 19. Recognition of Tables and Forms -- 20. Processing Mathematical Notation -- 21. Document Analysis in Postal Applications and Check Processing -- 22. Analysis and Recognition of Music Scores -- 23. Analysis of Documents Born Digital -- 24. Image Based Retrieval and Keyword Spotting in Documents -- 25. Text Localization and Recognition in Images and Video -- 26. Online Handwriting Recognition -- 27. Online Signature Verification -- 28. Sketching Interfaces -- 29. Datasets and Annotations for Document Analysis and Recognition -- 30. Tools and Metrics for Document Analysis Systems Evaluation-- Index.
Summary: 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.
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Includes index.

V: 1.
1. A Brief History of Documents and Writing Systems --
2. Document Creation, Image Acquisition and Document Quality --
3. The Evolution of document image analysis--
4. Imaging Techniques in Document Analysis Processes --
5.Page Segmentation Techniques in Document Analysis --
6. Analysis of the Logical Layout of Documents --
7. Page Similarity and Classification --
8. Text Segmentation for Document Recognition --
9. Language, script, and font recognition--
10. Machine-printed character recognition--
11. Handprinted Character and Word Recognition --
12. Continuous Handwritten Script Recognition --
13. Middle Eastern Character Recognition --
14. Asian Character Recognition --

V: 2
15. Graphics Recognition Techniques --
16. An Overview of Symbol Recognition --
17. Analysis and Interpretation of Graphical Documents --
18. Logo and Trademark Recognition --
19. Recognition of Tables and Forms --
20. Processing Mathematical Notation --
21. Document Analysis in Postal Applications and Check Processing --
22. Analysis and Recognition of Music Scores --
23. Analysis of Documents Born Digital --
24. Image Based Retrieval and Keyword Spotting in Documents --
25. Text Localization and Recognition in Images and Video --
26. Online Handwriting Recognition --
27. Online Signature Verification --
28. Sketching Interfaces --
29. Datasets and Annotations for Document Analysis and Recognition --
30. Tools and Metrics for Document Analysis Systems Evaluation--
Index.

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.

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