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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Doermann, David (Επιμελητής έκδοσης), Jaeger, Stefan (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Σειρά: Lecture Notes in Computer Science, 4768
• Θέματα: Computer science.; Database management.; Information storage and retrieval.; Computer graphics.; Image processing.; Pattern recognition.; Linguistics.; Computer Science.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Image Processing and Computer Vision.; Linguistics, general.; Pattern Recognition.; Database Management.; Information Storage and Retrieval.

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...

Πίνακας περιεχομένων:

• 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.