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SACH 2006: College Park, MD, USA
- David S. Doermann, Stefan Jaeger:

Arabic and Chinese Handwriting Recognition - SACH 2006 Summit College Park, MD, USA, September 27-28, 2006 Selected Papers. Lecture Notes in Computer Science 4768, Springer 2008, ISBN 978-3-540-78198-1 - Mohamed Cheriet:

Visual Recognition of Arabic Handwriting: Challenges and New Directions. 1-21 - Sara Izadi, Javad Sadri, Farshid Solimanpour, Ching Y. Suen:

A Review on Persian Script and Recognition Techniques. 22-35 - Abdel Belaïd, Christophe Choisy:

Human Reading Based Strategies for Off-Line Arabic Word Recognition. 36-56 - Sargur N. Srihari, Gregory R. Ball, Harish Srinivasan:

Versatile Search of Scanned Arabic Handwriting. 57-69 - Ahmad Abdulkader:

A Two-Tier Arabic Offline Handwriting Recognition Based on Conditional Joining Rules. 70-81 - Volker Märgner, Haikal El Abed

:
Databases and Competitions: Strategies to Improve Arabic Recognition Systems. 82-103 - Cheng-Lin Liu:

Handwritten Chinese Character Recognition: Effects of Shape Normalization and Feature Extraction. 104-128 - Hiromichi Fujisawa

:
How to Deal with Uncertainty and Variability: Experience and Solutions. 129-151 - Feng-Jun Guo, Li-Xin Zhen, Yong Ge, Yun Zhang:

An Efficient Candidate Set Size Reduction Method for Coarse-Classification in Chinese Handwriting Recognition. 152-160 - Fu Chang:

Techniques for Solving the Large-Scale Classification Problem in Chinese Handwriting Recognition. 161-169 - Masaki Nakagawa, Junko Tokuno, Bilan Zhu, Motoki Onuma, Hideto Oda, Akihito Kitadai:

Recent Results of Online Japanese Handwriting Recognition and Its Applications. 170-195 - Xiaoqing Ding, Hailong Liu:

Segmentation-Driven Offline Handwritten Chinese and Arabic Script Recognition. 196-217 - Daniel P. Lopresti

, George Nagy
, Sharad C. Seth, Xiaoli Zhang:
Multi-character Field Recognition for Arabic and Chinese Handwriting. 218-230 - Prem Natarajan

, Shirin Saleem, Rohit Prasad, Ehry MacRostie, Krishna Subramanian:
Multi-lingual Offline Handwriting Recognition Using Hidden Markov Models: A Script-Independent Approach. 231-250 - Umapada Pal, Nabin Sharma, Tetsushi Wakabayashi, Fumitaka Kimura:

Handwritten Character Recognition of Popular South Indian Scripts. 251-264 - Roman Bertolami, Horst Bunke:

Ensemble Methods to Improve the Performance of an English Handwritten Text Line Recognizer. 265-277

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