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...

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Corporate Author: SpringerLink (Online service)
Other Authors: Doermann, David. (Editor, http://id.loc.gov/vocabulary/relators/edt), Jaeger, Stefan. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 4768
Subjects:
Online Access:https://doi.org/10.1007/978-3-540-78199-8
Table of Contents:
  • 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.