Writing speed normalization for on-line handwritten text recognition

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn 2005, Issue , 2005, Pages 1131-1135

  Pastor, Moisés ^a   Toselli, Alejandro ^a   Vidal, Enrique ^a  

^a INSTITUTO TECNOLÓGICO DE INFORMÁTICA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; HUMAN COMPUTER INTERACTION; INVARIANCE; PARAMETER ESTIMATION; STATISTICAL METHODS; TEXT PROCESSING;

RESAMPLING DISTANCE; TRACE SEGMENTATION; WRITING SPEED;

CHARACTER RECOGNITION;

EID: 33947362097     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2005.257     Document Type: Conference Paper

References (15)

1. R. Gross. Run-On Recognition in an On-line Handwriting Recognition System. Technical report, University of Karlsruhe, Germany, June 1997.
2. J. Hu, S. G. Lim, and M. K. Brown. HMM Based Writer Independent On-Line Handwritten Character and Word Recognition. In The 6th International Workshop on Frontiers in Handwriting Recognition, KAIST Campus, Taejon city, Korea, Aug. 1998.
3. S. Jaeger, S. Manke, J. Reichert, and A. Waibel. On-Line Handwriting Recognition: The NPen++ Recognizer. International Journal on Document Analysis and Recognition, 3(3):169-181, 2001.
4. S. Jaeger, S. Manke, and A. Waibel. Npen++: an on-line handwriting recognition system. In Proc. of the Seventh IWFHR, pages 249-260, Amsterdam, The Netherlands, Sept. 2000.
5. F. Jelinek. Statistical Methods for Speech Recognition. MIT Press, 1998.
6. A. Kosmala, J. Rottland, and G. Rigoll. Improved On-Line Handwriting Recognition Using Context Dependent Hidden Markov Models. In Proc. of the 4th International Conference Document Analysis and Recognition (ICDAR '97), pages 641-644. Ulm, GERMANY, Aug. 1997.
7. C.-L. Liu, S. Jaeger, and M. Nakagawa. Online Recognition of Chinese Characters: The State-of-the-Art. IEEE Transactions on Pattern Analysis and Machine Intelligence, 16(2):198-213, Feb. 2004.
8. S. Manke, M. Finke, and A. Waibel. NPen++: A Writer Independent, Large Vocabulary On-Line Cursive Handwriting Recognition System. In Proc. Third International Conference on Document Analysis and Recognition, volume 1, pages 403-408, Montréal, Canada, Aug. 1995.
9. S. Manke, M. Finke, and A. Waibel. The use of dynamic writing information in a connectionist on-line cursive handwriting recognition system. In G. Tesauro, D. Touretzky, and T. Leen, editors, Advances in Neural Information Processing Systems, volume 7, pages 1093-1100. The MIT Press, 1995.
10. L. Rabiner. A Tutorial of Hidden Markov Models and Selected Application in Speech Recognition. Proc. IEEE, 77:257-286, 1989.
11. G. Rigoll and A. Kosmala. A Systematic Comparison Between On-Line and Off-Line Methods for Signature Verification with Hidden Markov Models. In Int. Conference on Pattern Recognition (ICPR), pages 1755-1757, Brisbane. 1998.
12. G. Seni, R. K. Srihari, and N. M. Nasrabadi. Large vocabulary recognition of on-line handwritten cursive words. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(7):757-762, 1996.
13. H. Shu. A On-line Handwriting Recognition Using Hidden Markov Models. Master's thesis, Massachusetts Institute of Technology, 1996.
14. V. Vuori, J. Laaksonen, E. Oja, and J. Kangas. Speeding Up On-line Recognition of Handwritten Characters by Pruning the Prototype Set. In Proc. of the Sixth International Conference on Document Analysis and Recognition (ICDAR '01), pages 0501-0507, Seattle, Washington, Sept. 2001.
15. S. Young, J. Odell, D. Ollason, V. Valtchev, and P. W. odland. The HTK Book: Hidden Markov Models Toolkit V2.1. Cambridge Research Laboratory Ltd, Mar. 1997.