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  • Produktbild: Graphics Recognition. Ten Years Review and Future Perspectives
  • Produktbild: Graphics Recognition. Ten Years Review and Future Perspectives
Band 3926

Graphics Recognition. Ten Years Review and Future Perspectives 6th International Workshop, GREC 2005, Hong Kong, China, August 25-26, 2005, Revised Selected Papers

Aus der Reihe Lecture Notes in Computer Science

49,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.07.2006

Abbildungen

XII, 428 p.

Herausgeber

Wenyin Liu + weitere

Verlag

Springer Berlin

Seitenzahl

428

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

674 g

Auflage

2006

Sprache

Englisch

ISBN

978-3-540-34711-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.07.2006

Abbildungen

XII, 428 p.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

428

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

674 g

Auflage

2006

Sprache

Englisch

ISBN

978-3-540-34711-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Graphics Recognition. Ten Years Review and Future Perspectives
  • Produktbild: Graphics Recognition. Ten Years Review and Future Perspectives
  • 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.- Usinga 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.