Dynamic time warping applied to tamil character recognition

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

Volumn 2005, Issue , 2005, Pages 730-734

  Niels, Ralph ^a   Vuurpijl, Louis ^a  

^a RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC RECOGNITION; DYNAMIC TIME WARPING (DTW); HANDWRITTEN CHARACTERS; WRITER INDEPENDENT SETTING;

CLASSIFICATION (OF INFORMATION); COMPUTER SIMULATION; MONTE CARLO METHODS; NATURAL LANGUAGE PROCESSING SYSTEMS; TECHNICAL WRITING; TEXT PROCESSING;

CHARACTER RECOGNITION;

EID: 33847350545     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2005.96     Document Type: Conference Paper

References (10)

1. H. Aparna, V. Subramanian, M. Kasirajan, V. Prakash, V. Chakravarthy, and S. Madhvanath. Online handwriting recognition for Tamil. In F. Kimura and H. Fujisawa, editors, Proc. IWFHR9, pages 438-442, Tokyo, October 2004.
2. S. Hewavitharana and H. Fernando. A two stage classification approach to Tamil handwriting recognition. In Proc. 772002, Foster City, California, USA, September 2002.
3. N. Joshi, O. Sita, A. G. Ramakrishnan, and S. Madhvanath. Comparison of elastic matching algorithms for online Tamil handwritten character recognition. In F. Kimura and H. Fujisawa, editors, Proc. IWFHR9, pages 444-449, Tokyo, October 2004.
4. J. Kruskal and M. Liberman. The symmetric time-warping problem: from continuous to discrete. In D. Sankoff and J. Kruskal, editors, Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparisons. Addison-Wesley, Reading, Massachusetts, 1983.
5. R. Niels. Dynamic Time Warping: An intuitive way of handwriting recognition? Master's thesis, Radboud University Nijmegen, November-December 2004. dtw.noviomagura.com.
6. R. Niels and L. Vuurpijl. Using Dynamic Time Warping for intuitive handwriting recognition. In Proc. ICS2005, 2005. In press.
7. L. Schomaker. Using stroke- or character-based self-organizing maps in the recognition of on-line, connected cursive script. Pattern Recognition, 26(3):443-450, 1993.
8. V. Vuori. Adaptive Methods for On-Line Recognition of Isolated Handwritten Characters. PhD thesis, Finnish Academies of Technology, 2002.
9. L. Vuurpijl, R. Niels, M. van Erp, L. Schomaker, and E. Ratzlaff. Verifying the UNIPEN devset. In F. Kimura and H. Fujisawa, editors, Proc. IWFHR9, pages 586-591, Tokyo, Japan, October 2004.
10. L. Vuurpijl and L. Schomaker. Finding structure in diversity: A hierarchical clustering method for the categorization of allographs in handwriting. In Proc. ICDAR '97, pages 387-393, Piscataway, NJ, USA, August 1997. IEEE Computer Society.