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Graphics Recognition. Recent Advances and New Opportunities

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Cover of 'Graphics Recognition. Recent Advances and New Opportunities'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Automatically Making Origami Diagrams
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    Chapter 2 An Adaptative Recognition System Using a Table Description Language for Hierarchical Table Structures in Archival Documents
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    Chapter 3 Converting ECG and Other Paper Legated Biomedical Maps into Digital Signals
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    Chapter 4 Hand Drawn Symbol Recognition by Blurred Shape Model Descriptor and a Multiclass Classifier
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    Chapter 5 On the Combination of Ridgelets Descriptors for Symbol Recognition
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    Chapter 6 Old Handwritten Musical Symbol Classification by a Dynamic Time Warping Based Method
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    Chapter 7 On the Joint Use of a Structural Signature and a Galois Lattice Classifier for Symbol Recognition
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    Chapter 8 A Discriminative Representation for Symbolic Image Similarity Evaluation
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    Chapter 9 ARG Based on Arcs and Segments to Improve the Symbol Recognition by Genetic Algorithm
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    Chapter 10 Spotting Symbols in Line Drawing Images Using Graph Representations
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    Chapter 11 A Region-Based Hashing Approach for Symbol Spotting in Technical Documents
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    Chapter 12 A System for Historic Document Image Indexing and Retrieval Based on XML Database Conforming to MPEG7 Standard
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    Chapter 13 An Ancient Graphic Documents Indexing Method Based on Spatial Similarity
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    Chapter 14 A Fast CBIR System of Old Ornamental Letter
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    Chapter 15 Developing Domain-Specific Gesture Recognizers for Smart Diagram Environments
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    Chapter 16 Using Error Recovery Techniques to Improve Sketch Recognition Accuracy
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    Chapter 17 Representing and Parsing Sketched Symbols Using Adjacency Grammars and a Grid-Directed Parser
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    Chapter 18 Categorization of Digital Ink Elements Using Spectral Features
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    Chapter 19 A Figure Image Processing System
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    Chapter 20 A Segmentation Scheme Based on a Multi-graph Representation: Application to Colour Cadastral Maps
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    Chapter 21 Smoothing a Network of Planar Polygonal Lines Obtained with Vectorization
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    Chapter 22 Verification of the Document Components from Dual Extraction of MRTD Information
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    Chapter 23 A System to Segment Text and Symbols from Color Maps
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    Chapter 24 A Non-symmetrical Method of Image Local-Difference Comparison for Ancient Impressions Dating
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    Chapter 25 Generating Ground Truthed Dataset of Chart Images: Automatic or Semi-automatic?
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    Chapter 26 Performance Characterization of Shape Descriptors for Symbol Representation
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    Chapter 27 Building Synthetic Graphical Documents for Performance Evaluation
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    Chapter 28 A Study on the Effects of Noise Level, Cleaning Method, and Vectorization Software on the Quality of Vector Data
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    Chapter 29 GREC 2007 Arc Segmentation Contest: Evaluation of Four Participating Algorithms
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    Chapter 30 Report on the Third Contest on Symbol Recognition
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    Chapter 31 Is Graphics Recognition an Unidentified Scientific Object?
Attention for Chapter 28: A Study on the Effects of Noise Level, Cleaning Method, and Vectorization Software on the Quality of Vector Data
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Chapter title
A Study on the Effects of Noise Level, Cleaning Method, and Vectorization Software on the Quality of Vector Data
Chapter number 28
Book title
Graphics Recognition. Recent Advances and New Opportunities
Published by
Springer, Berlin, Heidelberg, September 2007
DOI 10.1007/978-3-540-88188-9_28
Book ISBNs
978-3-54-088184-1, 978-3-54-088188-9
Authors

Hasan S. M. Al-Khaffaf, Abdullah Zawawi Talib, Rosalina Abdul Salam, Al-Khaffaf, Hasan S. M., Talib, Abdullah Zawawi, Abdul Salam, Rosalina

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 25%
Lecturer > Senior Lecturer 1 13%
Student > Bachelor 1 13%
Professor 1 13%
Student > Ph. D. Student 1 13%
Other 2 25%
Readers by discipline Count As %
Computer Science 4 50%
Linguistics 1 13%
Business, Management and Accounting 1 13%
Agricultural and Biological Sciences 1 13%
Engineering 1 13%
Other 0 0%