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Document Analysis Systems V

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Cover of 'Document Analysis Systems V'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Relating Statistical Image Differences and Degradation Features
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    Chapter 2 Script Identification in Printed Bilingual Documents
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    Chapter 3 Optimal Feature Extraction for Bilingual OCR
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    Chapter 4 Machine Recognition of Printed Kannada Text
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    Chapter 5 An Integrated System for the Analysis and the Recognition of Characters in Ancient Documents
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    Chapter 6 A Complete Tamil Optical Character Recognition System
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    Chapter 7 Distinguishing between Handwritten and Machine Printed Text in Bank Cheque Images
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    Chapter 8 Multi-expert Seal Imprint Verification System for Bankcheck Processing
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    Chapter 9 Automatic Reading of Traffic Tickets
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    Chapter 10 A Stochastic Model Combining Discrete Symbols and Continuous Attributes and Its Application to Handwriting Recognition
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    Chapter 11 Top-Down Likelihood Word Image Generation Model for Holistic Word Recognition
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    Chapter 12 The Segmentation and Identification of Handwriting in Noisy Document Images
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    Chapter 13 The Impact of Large Training Sets on the Recognition Rate of Off-line Japanese Kanji Character Classifiers
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    Chapter 14 Automatic Completion of Korean Words for Open Vocabulary Pen Interface
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    Chapter 15 Using Stroke-Number-Characteristics for Improving Efficiency of Combined Online and Offline Japanese Character Classifiers
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    Chapter 16 Closing Gaps of Discontinuous Lines: A New Criterion for Choosing the Best Prolongation
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    Chapter 17 Classifier Adaptation with Non-representative Training Data
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    Chapter 18 A Learning Pseudo Bayes Discriminant Method Based on Difference Distribution of Feature Vectors
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    Chapter 19 Increasing the Number of Classifiers in Multi-classifier Systems: A Complementarity-Based Analysis
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    Chapter 20 Discovering Rules for Dynamic Configuration of Multi-classifier Systems
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    Chapter 21 Multiple Classifier Combination for Character Recognition: Revisiting the Majority Voting System and Its Variations
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    Chapter 22 Correcting for Variable Skew
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    Chapter 23 Two Geometric Algorithms for Layout Analysis
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    Chapter 24 Text/Graphics Separation Revisited
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    Chapter 25 A Study on the Document Zone Content Classification Problem
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    Chapter 26 Logical Labeling of Document Images Using Layout Graph Matching with Adaptive Learning
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    Chapter 27 A Ground-Truthing Tool for Layout Analysis Performance Evaluation
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    Chapter 28 Simple Layout Segmentation of Gray-Scale Document Images
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    Chapter 29 Detecting Tables in HTML Documents
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    Chapter 30 Document-Form Identification Using Constellation Matching of Keywords Abstracted by Character Recognition
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    Chapter 31 Table Detection via Probability Optimization
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    Chapter 32 Complex Table Form Analysis Using Graph Grammar
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    Chapter 33 Detection Approaches for Table Semantics in Text
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    Chapter 34 A Theoretical Foundation and a Method for Document Table Structure Extraction and Decompositon
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    Chapter 35 Fuzzy Segmentation of Characters in Web Images Based on Human Colour Perception
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    Chapter 36 Word and Sentence Extraction Using Irregular Pyramid
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    Chapter 37 Word Searching in Document Images Using Word Portion Matching
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    Chapter 38 Scene Text Extraction in Complex Images
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    Chapter 39 Text Extraction in Digital News Video Using Morphology
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    Chapter 40 Retrieval by Layout Similarity of Documents Represented with MXY Trees
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    Chapter 41 Automatic Indexing of Newspaper Microfilm Images
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    Chapter 42 Improving Document Retrieval by Automatic Query Expansion Using Collaborative Learning of Term-Based Concepts
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    Chapter 43 Spotting Where to Read on Pages - Retrieval of Relevant Parts from Page Images
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    Chapter 44 Mining Documents for Complex Semantic Relations by the Use of Context Classification
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    Chapter 45 Hairetes: A Search Engine for OCR Documents
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    Chapter 46 Text Verification in an Automated System for the Extraction of Bibliographic Data
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    Chapter 47 smartFIX : A Requirements-Driven System for Document Analysis and Understanding
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    Chapter 48 Machine Learning of Generalized Document Templates for Data Extraction
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    Chapter 49 Machine Learning of Generalized Document Templates for Data Extraction
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    Chapter 50 Configuration REcognition Model for Complex Reverse Engineering Methods: 2(CREM)
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    Chapter 51 Electronic Document Publishing Using DjVu
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    Chapter 52 DAN: An Automatic Segmentation and Classification Engine for Paper Documents
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    Chapter 53 Document Reverse Engineering: From Paper to XML
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    Chapter 54 Human Interactive Proofs and Document Image Analysis
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    Chapter 55 Data GroundTruth, Complexity, and Evaluation Measures for Color Document Analysis
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    Chapter 56 Exploiting WWW Resources in Experimental Document Analysis Research
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    Chapter 57 An Automated Tachograph Chart Analysis System
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    Chapter 58 A Multimodal System for Accessing Driving Directions
Overall attention for this book and its chapters
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Title
Document Analysis Systems V
Published by
Springer, Berlin, Heidelberg, January 2002
DOI 10.1007/3-540-45869-7
ISBNs
978-3-54-044068-0, 978-3-54-045869-2
Editors

Daniel Lopresti, Jianying Hu, Ramanujan Kashi

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 20%
Unknown 8 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 20%
Student > Ph. D. Student 1 10%
Student > Postgraduate 1 10%
Student > Master 1 10%
Unknown 5 50%
Readers by discipline Count As %
Computer Science 3 30%
Social Sciences 1 10%
Engineering 1 10%
Unknown 5 50%