Cargando…

Arabic and Chinese Handwriting Recognition Summit, SACH 2006, College Park, MD, USA, September 27-28, 2006, Selected Papers /

In the fall of 2006, the University of Maryland, along with various government and industrial sponsors, invited leading researchers from all over the world to a two-day Summit on Arabic and Chinese Handwriting Recognition (SACH 2006). The event acted as a complement to the biennial Symposium on Docu...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Doermann, David (Editor ), Jaeger, Stefan (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 4768
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Visual Recognition of Arabic Handwriting: Challenges and New Directions
  • A Review on Persian Script and Recognition Techniques
  • Human Reading Based Strategies for Off-Line Arabic Word Recognition
  • Versatile Search of Scanned Arabic Handwriting
  • A Two-Tier Arabic Offline Handwriting Recognition Based on Conditional Joining Rules
  • Databases and Competitions: Strategies to Improve Arabic Recognition Systems
  • Handwritten Chinese Character Recognition: Effects of Shape Normalization and Feature Extraction
  • How to Deal with Uncertainty and Variability: Experience and Solutions
  • An Efficient Candidate Set Size Reduction Method for Coarse-Classification in Chinese Handwriting Recognition
  • Techniques for Solving the Large-Scale Classification Problem in Chinese Handwriting Recognition
  • Recent Results of Online Japanese Handwriting Recognition and Its Applications
  • Segmentation-Driven Offline Handwritten Chinese and Arabic Script Recognition
  • Multi-character Field Recognition for Arabic and Chinese Handwriting
  • Multi-lingual Offline Handwriting Recognition Using Hidden Markov Models: A Script-Independent Approach
  • Handwritten Character Recognition of Popular South Indian Scripts
  • Ensemble Methods to Improve the Performance of an English Handwritten Text Line Recognizer.