Online handwriting recognition for the Arabic letter set

Authors:
Mai Al-Ammar;Reham Al-Majed;Hatim Aboalsamh
Affiliations:
Computer Science Department, King Saud University, Riyadh, Saudi Arabia;Computer Science Department, King Saud University, Riyadh, Saudi Arabia;Computer Science Department, King Saud University, Riyadh, Saudi Arabia
Venue:
CIT'11 Proceedings of the 5th WSEAS international conference on Communications and information technology
Year:
2011

Citing 14
Cited 0

On-Line Recognition of Handwritten Arabic Characters

IEEE Transactions on Pattern Analysis and Machine Intelligence
The State of the Art in Online Handwriting Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition of Arabic Characters

IEEE Transactions on Pattern Analysis and Machine Intelligence
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
An Evolutionary Neuro-Fuzzy Approach to Recognize On-Line Arabic Handwriting

ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
On-Line Recognition of Handwritten Arabic Characters Using a Kohonen Neural Network

IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
Online handwriting recognition using multiple pattern class models

Online handwriting recognition using multiple pattern class models
Online Handwritten Script Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Offline Arabic Handwriting Recognition: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
Arabic Character Recognition using Modified Fourier Spectrum (MFS)

GMAI '06 Proceedings of the conference on Geometric Modeling and Imaging: New Trends
Hidden Markov Models for Online Handwritten Tamil Word Recognition

ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
On-line Arabic handwriting recognition with templates

Pattern Recognition
Hierarchical On-line Arabic Handwriting Recognition

ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
ICDAR 2009 Online Arabic Handwriting Recognition Competition

ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

Automated methods for the recognition of Arabic script are at an early stage compared to their equivalent for the recognition of Latin and Chinese languages, especially of online handwriting recognition. In this paper we describe the stages of the recognition process unique to the Arabic hand written text. We also introduce an account of Arabic online handwriting recognition methods in literature, with a rich list of references for the interested readers. We cast some light on the characteristics of Arabic writing and present an overview of the common stages normally followed by handwriting recognition systems which are: preprocessing, segmentation, feature extraction, classification, and post-processing along with the most used techniques.