Online Handwritten Character Recognition of Devanagari and Telugu Characters using Support Vector Machines

A system for recognition of online handwritten characters has been presented for Indian writing systems. A handwritten character is represented as a sequence of strokes whose features are extracted and classied. Support vector machines have been used for constructing the stroke recognition engine. The results have been presented after testing the system on Devanagari and Telugu scripts.

[1]  Xia Shaowei,et al.  Support vector machine and its application in handwritten numeral recognition , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[2]  Lambertus Schomaker,et al.  A Handwriting Recognition System based on the Properties and Architectures of the Human Motor System , 1990 .

[3]  Claus Bahlmann,et al.  Online handwriting recognition with support vector machines - a kernel approach , 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.

[4]  H. Rogers.  Writing Systems: A Linguistic Approach , 2004 .

[5]  Ulrich Bodenhausen,et al.  A connectionist recognizer for on-line cursive handwriting recognition , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

[6]  Marc Parizeau,et al.  Model-based online handwritten digit recognition , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[7]  H. Bentounsi,et al.  Incremental support vector machines for handwritten Arabic character recognition , 2004, Proceedings. 2004 International Conference on Information and Communication Technologies: From Theory to Applications, 2004..

[8]  Sriganesh Madhvanath,et al.  Online handwriting recognition for Tamil , 2004, Ninth International Workshop on Frontiers in Handwriting Recognition.

[9]  P. Sanguansat,et al.  Online Thai handwritten character recognition using hidden Markov models and support vector machines , 2004, IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004..

[10]  Kazuya Takeda,et al.  Recognition of subword units of speech using support vector machines , 2002 .