Graphics Recognition. Ten Years Review and Future Perspectives : 6th International Workshop, GREC 2005, Hong Kong, China, August 25-26, 2005, Revised Selected Papers / edited by Wenyin Liu, Josep Lladós.

Format:

Book

Contributor:

Liu, Wenyin, editor.

Lladós Masllorens, Josep, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science 0302-9743 ; 3926.

Lecture Notes in Computer Science, 0302-9743 ; 3926

Language:

English

Subjects (All):

Optical data processing.

Pattern perception.

Application software.

Computer graphics.

Artificial intelligence.

Computer science--Mathematics.

Computer science.

Image Processing and Computer Vision.

Pattern Recognition.

Computer Applications.

Computer Graphics.

Artificial Intelligence.

Discrete Mathematics in Computer Science.

Local Subjects:

Image Processing and Computer Vision.

Pattern Recognition.

Computer Applications.

Computer Graphics.

Artificial Intelligence.

Discrete Mathematics in Computer Science.

Physical Description:

1 online resource (XII, 428 pages).

Edition:

First edition 2006.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.

System Details:

text file PDF

Summary:

This book contains refereed and improved papers presented at the 6th IAPR Workshop on Graphics Recognition (GREC 2005). This year is the tenth anniversary of GREC, which was started in 1995 and has been held every 2 years: GREC 1995 in Penn State University, USA (LNCS Volume 1072, Springer, 1996); GREC 1997 in Nancy, France (LNCS Volume 1389, Springer, 1998); GREC 1999 in Jaipur, India (LNCS Volume 1941, Springer, 2000); GREC 2001 in Kingston, Canada (LNCS Volume 2390, Springer, 2002); and GREC 2003 in Barcelona, Spain (LNCS Volume 3088, Springer, 2004). GREC is the main event of IAPR TC-10 (the Technical Committee on Graphics Recognition within the International Association for Pattern Recognition) and provides an excellent opportunity for researchers and practitioners at all levels of experience to meet colleagues and to share new ideas and knowledge about graphics recognition methods. Graphics recognition is a particular field in the domain of document analysis, which combines pattern recognition and image processing techniques for the analysis of any kind of graphical information in documents from either paper or electronic formats. In its 10 year history, the graphics recognition community has extended its research topics from the analysis and understanding of graphic documents (including engineering drawings vectorization and recognition), to graphics-based information retrieval and symbol recognition, to new media analysis, and even stepped into research areas of other communities, e. g.

Contents:

Engineering Drawings Vectorization and Recognition

Vectorization and Parity Errors

A Vectorization System for Architecture Engineering Drawings

Symbol Recognition

Musings on Symbol Recognition

Symbol Spotting in Technical Drawings Using Vectorial Signatures

A Generic Description of the Concept Lattices' Classifier: Application to Symbol Recognition

An Extended System for Labeling Graphical Documents Using Statistical Language Models

Symbol Recognition Combining Vectorial and Statistical Features

Graphic Image Analysis

Segmentation and Retrieval of Ancient Graphic Documents

A Method for 2D Bar Code Recognition by Using Rectangle Features to Allocate Vertexes

Region-Based Pattern Generation Scheme for DMD Based Maskless Lithography

Global Discrimination of Graphic Styles

Recognition for Ocular Fundus Based on Shape of Blood Vessel

Adaptive Noise Reduction for Engineering Drawings Based on Primitives and Noise Assessment

Structural Document Analysis

Extraction of Index Components Based on Contents Analysis of Journal's Scanned Cover Page

Crosscheck of Passport Information for Personal Identification

String Extraction Based on Statistical Analysis Method in Color Space

Interactive System for Origami Creation

Using Bags of Symbols for Automatic Indexing of Graphical Document Image Databases

A Minimal and Sufficient Way of Introducing External Knowledge for Table Recognition in Archival Documents

Database-Driven Mathematical Character Recognition

Recognition and Classification of Figures in PDF Documents

Sketching and On-Line Graphics Recognition

An Incremental Parser to Recognize Diagram Symbols and Gestures Represented by Adjacency Grammars

Online Composite Sketchy Shape Recognition Using Dynamic Programming

Using a Neighbourhood Graph Based on Voronoï Tessellation with DMOS, a Generic Method for Structured Document Recognition

Primitive Segmentation in Old Handwritten Music Scores

Curve and Shape Processing

Generic Shape Classification for Retrieval

Polygonal Approximation of Digital Curves Using a Multi-objective Genetic Algorithm

A Contour Shape Description Method Via Transformation to Rotation and Scale Invariant Coordinates System

Feature Detection from Illustration of Time-Series Data

Sketch Parameterization Using Curve Approximation

Biometric Recognition Based on Line Shape Descriptors

Reports of Contests

The Third Report of the Arc Segmentation Contest

RANVEC and the Arc Segmentation Contest: Second Evaluation

Optimal Line and Arc Detection on Run-Length Representations

Report on the Second Symbol Recognition Contest

Symbol Recognition Using Bipartite Transformation Distance and Angular Distribution Alignment

Robust Moment Invariant with Higher Discriminant Factor Based on Fisher Discriminant Analysis for Symbol Recognition

Panel Discussion

Graphics Recognition: The Last Ten Years and the Next Ten Years.

Other Format:

Printed edition:

ISBN:

978-3-540-34712-5

9783540347125

Access Restriction:

Restricted for use by site license.