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Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on Volume , Issue , 29 Aug.-1 Sept. 2005 Page(s): 730 - 734 Vol. 2 Digital Object Identifier 10.1109/ICDAR.2005.96 Summary: This paper describes the use of dynamic time warping (DTW) for classifying handwritten Tamil characters. Since DTW can match characters of arbitrary length, it is particularly suited for this domain. We built a prototype based classifier that uses DTW both for generating prototypes and for calculating a list of nearest prototypes. Prototypes were automatically generated and selected. Two tests were performed to measure the performance of our classifier in a writer dependent, and in a writer independent setting. Furthermore, several strategies were developed for rejecting uncertain cases. Two different rejection variables were implemented and using a Monte Carlo simulation, the performance of the system was tested in various configurations. The results are promising and show that the classifier can be of use in both writer dependent and writer independent automatic recognition of handwritten Tamil characters. » [37]View citation and abstract [transparent_spacer.gif] [transparent_spacer.gif] [transparent_spacer.gif] IEEE Members [transparent_spacer.gif] Log in by entering your IEEE Web Account Username and Password. IEEE Communications Society members: If you subscribe to the IEEE Electronic Periodicals Package or IEEE Electronic Periodicals Package Plus, you must access your subscription at [38]www.comsoc.org. [transparent_spacer.gif] [transparent_spacer.gif] [transparent_spacer.gif] Users at Subscribing Institutions [transparent_spacer.gif] Check with your librarian, information professional, or system manager to determine if you need to log in. Please complete the online [39]Technical Support Form if you need assistance. 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