Feature extraction techniques of online handwriting arabic text recognition
- 1 March 2013
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2013 5th International Conference on Information and Communication Technology for the Muslim World (ICT4M)
Abstract
Online recognition of Arabic handwritten text has been an ongoing research problem for many years. Generally, online text recognition field has been gaining more interest lately due to the increasing popularity of hand-held computers, digital notebooks and advanced cellular phones. Most of the online text recognition systems consist of three main phases which are preprocessing, feature extraction, and recognition phase. This paper compares between different techniques that have been used to extract the features of Arabic handwriting scripts in online recognition systems. Those techniques attempt to extract the feature vector of Arabic handwritten words, characters, numbers or strokes. This vector then will be fed into the recognition engine to recognize the pattern using the feature vector. The structure and strategy of those reviewed techniques are explained in this article. The strengths and weaknesses of using these techniques will also be discussed.Keywords
This publication has 22 references indexed in Scilit:
- Online Arabic/Persian character recognition using neural network classifier and DCT featuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Feature Extraction for Online Farsi CharactersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Deductive method for recognition of on-line handwritten Persian/Arabic charactersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- On-line Arabic handwriting recognition with templatesPattern Recognition, 2009
- On-line Arabic handwriting recognition system based on visual encoding and genetic algorithmEngineering Applications of Artificial Intelligence, 2009
- Online Writer-Independent Character Recognition Using a Novel Relational Context RepresentationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- Online Arabic handwriting recognition using continuous Gaussian mixture HMMSPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2007
- AraPen: An Arabic Online Handwriting Recognition SystemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Minimum classification error training for online handwriting recognitionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2006
- On-line recognition of handwritten Arabic charactersIEEE Transactions on Pattern Analysis and Machine Intelligence, 1990