Survey of recognition of Arabic scripts for indoor unmanned aerial vehicles using classical methods for pattern recognition

Interest in unmanned aerial vehicles has been growing significantly and even more interest in Autonomous Unmanned Aerial Vehicles(A-UAV). The A-UAV in this work is a quad rotor designed for indoor applications capable of performing recognition of name plates in various written arabic script which can be generalized to any form of cursive writing. This paper deals with theory and implementation of holistic recognition of words by fitting ellipses to extracted script contour data and then evaluates the performance of our implemented pattern recognition techniques for real-time systems.

[1]  Christopher M. Bishop,et al.  Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .

[2]  Nasser M. Nasrabadi,et al.  Pattern Recognition and Machine Learning , 2006, Technometrics.

[3]  Corinna Cortes,et al.  Support-Vector Networks , 1995, Machine Learning.

[4]  Nello Cristianini,et al.  Kernel Methods for Pattern Analysis , 2004 .

[5]  Venu Govindaraju,et al.  Offline Arabic handwriting recognition: a survey , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  S. S. Upda,et al.  Recognition of Arabic Characters , 1992, IEEE Trans. Pattern Anal. Mach. Intell..