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9789810231033

Document Analysis Systems II

by ;
  • ISBN13:

    9789810231033

  • ISBN10:

    9810231032

  • Format: Hardcover
  • Copyright: 1998-08-01
  • Publisher: World Scientific Pub Co Inc
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Table of Contents

Preface vii
Document Image Analysis 3(64)
Document De-Blurring Using Maximum Likelihood Methods
3(14)
T. Pavlidis
Language Identification in Complex, Unoriented, and Degraded Document Images
17(23)
D.S. Lee
C.R. Nohl
H.S. Baird
Document Image Skew Detection: Survey and Annotated Bibliography
40(27)
J.J. Hull
Recognition Techniques 67(70)
Language-Independent and Segmentation-Free Techniques for Optical Character Recognition
67(16)
J. Makhoul
R. Schwartz
C. LaPre
C. Raphael
I. Bazzi
Priming the Recognizer
83(19)
G. Nagy
Y. H. Xu
Clustering and Error-Correcting Matching of Graphs for Learning and Recognition of Symbols in Engineering Drawings
102(16)
B.T. Messmer
H. Bunke
A System for Text Recognition Based on Graph Embedding Matching
118(19)
H. Shi
T. Pavlidis
Systems and Architectures 137(204)
A Multi-Layered Corroboration-Based Check Reader
137(38)
G.F. Houle
D.B. Aragon
R.W. Smith
M. Shridhar
D. Kimura
A System for Copying Oversize Documents
175(14)
J.F. Cullen
FormClas -- A System for OCR Free Identification of Forms
189(20)
F. Dubiet
A. Dengel
Information Extraction from Tax Assessment Forms
209(14)
H.U. Mogg-Schneider
C. Aufmuth
A System for the Automated Evaluation of Invoices
223(19)
M. Koppen
D. Waldostl
B. Nicholay
SPAM: A Scientific Paper Access Method
242(14)
A.L. Spitz
A Prototype for Extracting Logical Elements from Tables of Contents of Journals
256(27)
T. Hu
K. Marukawa
Y. Shima
H. Fujisawa
Document Understanding System for Multiple Document Representations
283(18)
S.L. Taylor
M. Lipshutz
Integrated Multi-Agent Architecture for Assisted Document Recognition
301(17)
F. Bapst
R. Brugger
A. Zramdini
R. Ingold
Documents on the Move: DA&IR-Driven Mail Piece Processing Today and Tommorrow
318(23)
U. Miletzki
Performance Evaluation and Improvement 341(68)
Evaluating the Performance of Techniques for the Extraction of Primitives from Line Drawings Composed of Horizontal and Vertical Lines
341(15)
J.F. Arias
R. Kasturi
A.K. Chhabra
Prediction of OCR Accuracy Using a Neural Network
356(15)
J. Gonzalez
J. Kanai
T.A. Nartker
Adaptive Coordination of Multiple Classifiers
371(14)
T.K. Ho
Advances in Document Classification by Voting of Competitive Approaches
385(24)
C. Wenzel
S. Baumann
T. Jager
Image Retrieval and World Wide Web (WWW) Applications 409(94)
DocBrowse: A System for Textual and Graphical Querying on Degraded Document Image Data
409(24)
M.Y. Jaisimha
A. Bruce
T. Nguyen
The Development of a General Framework for Intelligent Document Image Retrieval
433(28)
D. Doermann
J. Sauvola
H. Kauniskangas
C. Shin
M. Pietikainen
A. Rosenfeld
Evaluating Japanese Document Recognition in the Internet/Intranet Environment
461(18)
T. Hong
S.F. Wu
S.N. Srihari
Document Analysis and the World Wide Web
479(24)
D. Lopresti
J. Zhou
Working Groups 503(22)
Document Databases
503(3)
J.Y. Hu
M.Y. Jaisimha
Document Image Retrieval
506(3)
J. Kanai
N. Bartneck
Document Analysis and Learning
509(3)
D.S. Lee
A. Dengel
Document Analysis versus Understanding
512(3)
T. Tokuyasu
L. O'Gorman
Multilingual Documents
515(3)
T. Hong
A.L. Spitz
How to Draw Document Analysis and Information Retrieval Closer Together
518(3)
J. Zhou
S. Dennis
Commercial Exploitation of OCR and Document Analysis Systems Technology: Market and User Requirements
521(4)
S. Knerr
T.K. Ho
Author Index 525

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The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

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