Saturday 23rd of September 2017
 

Handwriting and Hand Drawing Velocity Modeling by Superposing Beta Impulses and Continuous Training Component


Houcine Boubaker, Aymen Chaabouni, Najiba Tagougui, Monji Kherallah and Adel M. Alimi

We present in this paper a new strategy of handwriting or hand drawing velocity modeling Based on the Beta theory. The introduced approach aims to improve the interpretability of the dynamic profile model, reduce the data redundancy, and ameliorate the features accuracy. Indeed, we showed that the curvilinear velocity of handwritten or hand drawn trajectory can be rebuilt by superposing two components; consecutive Beta impulses representing its amplitude alternation imposed by the trajectory curvature variation and a velocity gain part of persistent pen carrying called "continuous training component" interpreting the learning level of the hand drawing faculty and the control of neuromuscular pulses synchronization. The proposed strategy was validated by the reduction of the error of curvilinear velocity fitting and the improvement of the recognition rate of Arabic handwriting characters represented by its model features vector.

Keywords: Online hand drawing, Beta theory, velocity, profile modeling, beta impulse, continuous training component

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ABOUT THE AUTHORS

Houcine Boubaker
was born in Kalaat El Andalous (Tunisia) in 1973. He graduated in Electrical Engineering in 1995, obtained a master degree in Systems Analyses and Digital Signal Processing in 1997. He is a researcher and a PhD student in Electrical & Computer Engineering at the University of Sfax. His research interest includes trajectory modeling and applications of intelligent methods to pattern recognition. He focuses his research on drawing, Arabic handwriting and arm hand movements modeling and Analyses. He is an IEEE student member and affiliate to the Research Group on Intelligent Machines laboratory (REGIM).

Aymen Chaabouni
was born in Sidi Bouzid (Tunisia) in 1981. He obtained the master degree in computer science from the university of Avignon and the Vaucluse, French in 2006. Currently he is a researcher and a PhD student in Computer Engineering at the University of Sfax. His main research interest is in the area of handwriting recognition, writer identification and signature verification. He is an IEEE student member and affiliate to the Research Group on Intelligent Machines laboratory (REGIM).

Najiba Tagougui
was born in Sfax (Tunisia) in 1982. She graduated in Computer Sciences in 2005, obtained a master degree in News technologies of dedicated computer systems in 2007. She is now a PhD student in Computer Systems Engineering at the University of Sfax. His research interest includes applications of intelligent methods to pattern recognition. She focuses her research on intelligent pattern recognition especially Arabic Handwriting Recognition. She is an IEEE student member and affiliate to the Research Group on Intelligent Machines laboratory (REGIM).

Monji Kherallah
was born in Sfax (Tunisia) in 1963. He graduated in Electrical Engineering 1989, obtained a PhD in Electrical Engineering in 2008. He is now a professor in Electrical & Computer Engineering at the University of Sfax. His research interest includes applications of intelligent methods to pattern recognition and industrial processes. He focuses his research on intelligent pattern recognition especially Arabic Handwriting Recognition. He is member of the editorial board of "Pattern Recognition Letters". He was a member of the organization committee of the International Conference on Machine Intelligence ACIDCA-ICMI'2005.He is an IEEE member.

Adel M. Alimi
was born in Sfax (Tunisia) in 1966. He graduated in Electrical Engineering 1990, obtained a PhD and then an HDR both in Electrical & Computer Engineering in 1995 and 2000 respectively. He is now professor in Electrical & Computer Engineering at the University of Sfax. His research interest includes applications of intelligent methods (neural networks, fuzzy logic, evolutionary algorithms) to pattern recognition, robotic systems, vision systems, and industrial processes. He focuses his research on intelligent pattern recognition, learning, analysis and intelligent control of large scale complex systems. He is associate editor and member of the editorial board of many international scientific journals. He was guest editor of several special issues of international journals (e.g. Fuzzy Sets & Systems, Soft Computing, Journal of Decision Systems, Integrated Computer Aided Engineering, Systems Analysis Modeling and Simulations). He is an IEEE senior member.


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