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2013 12th International Conference on Document Analysis and Recognition (2005)
Seoul, Korea
Aug. 31, 2005 to Sept. 1, 2005
ISSN: 1520-5263
ISBN: 0-7695-2420-6
pp: 287-291
C.K. Narayanan , Indian Institute of Science, Bangalore, India
A.G. Ramakrishnan , Indian Institute of Science, Bangalore, India
B.S Raghavendra , Indian Institute of Science, Bangalore, India
M Sriganesh , Hewlett Packard Laboratories, Bangalore, India
G. Sita , Indian Institute of Science, Bangalore, India
ABSTRACT
In this paper, we study different methods for prototype selection for recognizing handwritten characters of Tamil script. In the first method, cumulative pairwise- distances of the training samples of a given class are used to select prototypes. In the second method, cumulative distance to allographs of different orientation is used as a criterion to decide if the sample is representative of the group. The latter method is presumed to offset the possible orientation effect. This method still uses fixed number of prototypes for each of the classes. Finally, a prototype set growing algorithm is proposed, with a view to better model the differences in complexity of different character classes. The proposed algorithms are tested and compared for both writer independent and writer adaptation scenarios.
INDEX TERMS
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CITATION
C.K. Narayanan, A.G. Ramakrishnan, B.S Raghavendra, M Sriganesh, G. Sita, "Prototype Learning Methods for Online Handwriting Recognition", 2013 12th International Conference on Document Analysis and Recognition, vol. 00, no. , pp. 287-291, 2005, doi:10.1109/ICDAR.2005.193
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