Real-time Arabic handwritten character recognition
Pattern Recognition
The analysis of error in an on-line recognition system of Arabic handwritten characters
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 2) - Volume 2
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)
A Gibbsian Kohonen Network for Online Arabic Character Recognition
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
A review on Persian script and recognition techniques
SACH'06 Proceedings of the 2006 conference on Arabic and Chinese handwriting recognition
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The purpose of this study is to investigate a methodfor high performance on-line Arabic characters recognition.This method is based on the use of Kohonen mapsand their corresponding confusion matrices which serve toprune them of error-causing nodes, and to combine themconsequently. We use two Kohonen maps obtained usingtwo distinct character representations, namely, Fourier descriptorsand tangents extracted along the characters on-linesignals. The two Kohonen maps are then combined usinga majority vote decision rule that, for each character,favors the most reliable map. This combination, withoutadding in any significant way to the process complexity, affordsa much better recognition rate.