• Produktbild: Fundamentals in Handwriting Recognition
  • Produktbild: Fundamentals in Handwriting Recognition
Band 124

Fundamentals in Handwriting Recognition

Aus der Reihe NATO ASI Subseries F:

Fr. 137.00

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.12.2011

Herausgeber

Sebastiano Impedovo

Verlag

Springer Berlin

Seitenzahl

496

Maße (L/B/H)

23.5/15.5/2.8 cm

Gewicht

774 g

Auflage

Softcover reprint of the original 1st ed. 1994

Sprache

Englisch

ISBN

978-3-642-78648-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

21.12.2011

Herausgeber

Sebastiano Impedovo

Verlag

Springer Berlin

Seitenzahl

496

Maße (L/B/H)

23.5/15.5/2.8 cm

Gewicht

774 g

Auflage

Softcover reprint of the original 1st ed. 1994

Sprache

Englisch

ISBN

978-3-642-78648-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: Fundamentals in Handwriting Recognition
  • Produktbild: Fundamentals in Handwriting Recognition
  • 1: Introduction and overview of field.- Frontiers in handwriting recognition.- 2: Handwritten character recognition.- Historical review of theory and practice of handwritten character recognition.- Automatic recognition of handwritten characters.- Learning, representation, understanding and recognition of characters and words — an intelligent approach.- Digital transforms in handwriting recognition.- Pattern recognition with optimal margin classifiers.- 3: Handwritten word recognition.- On the robustness of recognition of degraded line images.- Invariant handwriting features useful in cursive script recognition.- Off-line recognition of bad quality handwritten words using prototypes.- Handwriting recognition by statistical methods.- Towards a visual recognition of cursive script.- A hierarchical handwritten word segmentation.- 4: Contextual methods in handwriting recognition.- Cursive words recognition: methods and strategies.- Hidden Markov models in handwriting recognition.- Language-level syntactic and semantic constraints applied to visual word recognition.- Verification of handwritten British postcodes using address features.- Improvement of OCR by language model.- An approximate string matching method for handwriting recognition post-processing using a dictionary.- 5: Neural networks in handwriting recognition.- Neural-net computing for machine recognition of handwritten English language text.- Cooperation of feedforward neural networks for handwritten digit recognition.- Normalisation and preprocessing for a recurrent network off-line handwriting recognition system.- 6: Architectures for handwriting.- Architectures for handwriting recognition.- 7: Databases for handwriting recognition.- Large database organization for document images.- 8: Signature recognition and verification.- A model-based dynamic signature verification system.- Algorithms for signature verification.- Handwritten signature verification: a global approach.- 9: Application of handwriting recognition.- Total approach for practical character recognition system development.- A pen-based music editor.