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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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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 006.4 D652 (Browse shelf(Opens below)) Available 136260
Books ISI Library, Kolkata 006.4 D652 (Browse shelf(Opens below)) Available 136261
Total holds: 0

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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