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Graphics Recognition. Ten Years Review and Future Perspectives

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Cover of 'Graphics Recognition. Ten Years Review and Future Perspectives'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Vectorization and Parity Errors
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    Chapter 2 A Vectorization System for Architecture Engineering Drawings
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    Chapter 3 Musings on Symbol Recognition
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    Chapter 4 Symbol Spotting in Technical Drawings Using Vectorial Signatures
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    Chapter 5 A Generic Description of the Concept Lattices’ Classifier: Application to Symbol Recognition
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    Chapter 6 An Extended System for Labeling Graphical Documents Using Statistical Language Models
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    Chapter 7 Symbol Recognition Combining Vectorial and Statistical Features
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    Chapter 8 Segmentation and Retrieval of Ancient Graphic Documents
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    Chapter 9 A Method for 2D Bar Code Recognition by Using Rectangle Features to Allocate Vertexes
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    Chapter 10 Region-Based Pattern Generation Scheme for DMD Based Maskless Lithography
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    Chapter 11 Global Discrimination of Graphic Styles
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    Chapter 12 Recognition for Ocular Fundus Based on Shape of Blood Vessel
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    Chapter 13 Adaptive Noise Reduction for Engineering Drawings Based on Primitives and Noise Assessment
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    Chapter 14 Extraction of Index Components Based on Contents Analysis of Journal’s Scanned Cover Page
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    Chapter 15 Crosscheck of Passport Information for Personal Identification
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    Chapter 16 String Extraction Based on Statistical Analysis Method in Color Space
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    Chapter 17 Interactive System for Origami Creation
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    Chapter 18 Using Bags of Symbols for Automatic Indexing of Graphical Document Image Databases
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    Chapter 19 A Minimal and Sufficient Way of Introducing External Knowledge for Table Recognition in Archival Documents
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    Chapter 20 Database-Driven Mathematical Character Recognition
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    Chapter 21 Recognition and Classification of Figures in PDF Documents
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    Chapter 22 An Incremental Parser to Recognize Diagram Symbols and Gestures Represented by Adjacency Grammars
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    Chapter 23 Online Composite Sketchy Shape Recognition Using Dynamic Programming
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    Chapter 24 Using a Neighbourhood Graph Based on Voronoï Tessellation with DMOS, a Generic Method for Structured Document Recognition
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    Chapter 25 Primitive Segmentation in Old Handwritten Music Scores
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    Chapter 26 Generic Shape Classification for Retrieval
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    Chapter 27 Polygonal Approximation of Digital Curves Using a Multi-objective Genetic Algorithm
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    Chapter 28 A Contour Shape Description Method Via Transformation to Rotation and Scale Invariant Coordinates System
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    Chapter 29 Feature Detection from Illustration of Time-Series Data
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    Chapter 30 Sketch Parameterization Using Curve Approximation
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    Chapter 31 Biometric Recognition Based on Line Shape Descriptors
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    Chapter 32 The Third Report of the Arc Segmentation Contest
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    Chapter 33 RANVEC and the Arc Segmentation Contest: Second Evaluation
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    Chapter 34 Optimal Line and Arc Detection on Run-Length Representations
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    Chapter 35 Report on the Second Symbol Recognition Contest
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    Chapter 36 Symbol Recognition Using Bipartite Transformation Distance and Angular Distribution Alignment
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    Chapter 37 Robust Moment Invariant with Higher Discriminant Factor Based on Fisher Discriminant Analysis for Symbol Recognition
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    Chapter 38 Graphics Recognition: The Last Ten Years and the Next Ten Years
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Title
Graphics Recognition. Ten Years Review and Future Perspectives
Published by
Springer Berlin Heidelberg, October 2006
DOI 10.1007/11767978
ISBNs
978-3-54-034711-8, 978-3-54-034712-5
Editors

Liu, Wenyin, Lladós, Josep

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 %
Portugal 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 26%
Professor 1 5%
Student > Bachelor 1 5%
Student > Ph. D. Student 1 5%
Researcher 1 5%
Other 1 5%
Unknown 9 47%
Readers by discipline Count As %
Computer Science 6 32%
Engineering 2 11%
Business, Management and Accounting 1 5%
Design 1 5%
Unknown 9 47%