An online handwriting recognition system for Turkish

An online handwritten text recognition system for Turkish has been developed using a tablet PC as an interface. In recent years, although there have been great developments in tablet PC technology, there are still no applications for recognition in the Turkish language. We have developed a prototype system using hidden Markov models which recognizes handwritten words from a small vocabulary list. This system has achieved a recognition rate of over 90%.

[1]  David Nahamoo,et al.  A Fast Statistical Mixture Algorithm for On-Line Handwriting Recognition , 1994, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Kemal Oflazer,et al.  Two-level Description of Turkish Morphology , 1993, EACL.

[3]  Réjean Plamondon,et al.  On-line handwriting recognition. , 1999 .

[4]  Alain Biem,et al.  HMM topology optimization for handwriting recognition , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[5]  Kemal Oflazer.  Two-level description of Turkish morphology , 1993 .

[6]  Jianying Hu,et al.  Writer independent on-line handwriting recognition using an HMM approach , 2000, Pattern Recognit..

[7]  Anil K. Jain,et al.  Template-based online character recognition , 2001, Pattern Recognit..

[8]  Louis Vuurpijl,et al.  Support vector machines for the classification of western handwritten capitals , 2004 .

[9]  Patrick Gallinari,et al.  Stroke level HMMs for on-line handwriting recognition , 2002, Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition.

[10]  Berrin A. Yanikoglu,et al.  Turkish handwritten text recognition: a case of agglutinative languages , 2003, IS&T/SPIE Electronic Imaging.

[11]  Berrin A. Yanikoglu,et al.  Segmentation of off-line cursive handwriting using linear programming , 1998, Pattern Recognit..