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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

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    Book Overview
  2. Altmetric Badge
    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
  32. Altmetric Badge
    Chapter 31 Is Graphics Recognition an Unidentified Scientific Object?
Overall attention for this book and its chapters
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Mentioned by

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1 X user

Citations

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Title
Graphics Recognition. Recent Advances and New Opportunities
Published by
arXiv, September 2008
DOI 10.1007/978-3-540-88188-9
ISBNs
978-3-54-088184-1, 978-3-54-088188-9
Authors

A. R. Gomes e Silva, H. M. de Oliveira, R. D. Lins

Editors

Liu, Wenyin, Lladós, Josep, Ogier, Jean-Marc

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 16%
Student > Bachelor 3 16%
Lecturer > Senior Lecturer 2 11%
Lecturer 2 11%
Student > Master 2 11%
Other 1 5%
Unknown 6 32%
Readers by discipline Count As %
Engineering 5 26%
Computer Science 4 21%
Business, Management and Accounting 1 5%
Physics and Astronomy 1 5%
Veterinary Science and Veterinary Medicine 1 5%
Other 0 0%
Unknown 7 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 March 2015.
All research outputs
#20,702,072
of 23,302,246 outputs
Outputs from arXiv
#685,662
of 960,821 outputs
Outputs of similar age
#85,166
of 88,638 outputs
Outputs of similar age from arXiv
#446
of 531 outputs
Altmetric has tracked 23,302,246 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 960,821 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 88,638 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 531 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.