The Recognition Graph - Language Independent Adaptable On-line Cursive Script Recognition
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Online Character Recognition Based on Elastic Matching and Quadratic Discrimination
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Handwriting Recognition Algorithm in Different Languages: Survey
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
Improving stylus interaction for eMedical forms
Proceedings of the 22nd Conference of the Computer-Human Interaction Special Interest Group of Australia on Computer-Human Interaction
Online handwriting recognition for the Arabic letter set
CIT'11 Proceedings of the 5th WSEAS international conference on Communications and information technology
Pattern Recognition Letters
Decision fusion of horizontal and vertical trajectories for recognition of online Farsi subwords
Engineering Applications of Artificial Intelligence
Offline arabic handwritten text recognition: A Survey
ACM Computing Surveys (CSUR)
Lightweight user-adaptive handwriting recognizer for resource constrained handheld devices
Proceeding of the workshop on Document Analysis and Recognition
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After a long period of focus on western and East Asian scripts there is now a general trend in the on-line handwriting recognition community to explore recognition of other scripts such as Arabic and various Indic scripts. One difficulty with the Arabic script is the number and position of diacritic marks associated to Arabic characters. This paper explores the application of a template matching scheme to the recognition of Arabic script with a novel algorithm for dynamically treating the diacritical marks. Template based systems are robust to conditions with scarce training data and in experiments the proposed system outperformed a reference system based on the promising state-of-the-art network technique of BLSTM. Experiments have been conducted in an environment similar to that of many handheld devices with promising results both in terms of memory consumption and response time.