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- W2131076549 abstract "We propose a novel, language-neutral approach for searching online handwritten text using Fr´echet distance. Online handwritten data, which is available as a time series (x,y,t), is treated as representing a parameterized curve in two-dimensions and the problem of searching online hand- written text is posed as a problem of matching two curves in a two-dimensional Euclidean space. Fr´echet distance is a natural measure for matching curves. The main contribu- tion of this paper is the formulation of a variant of Fr´echet distance that can be used for retrieving words even when only a prefix of the word is given as query. Extensive ex- periments on UNIPEN dataset1 consisting of over 16,000 words written by 7 users show that our method outperforms the state-of-the-art DTW method. Experiments were also conducted on a multilingual dataset, generated on a PDA, with encouraging results. Our approach can be used to implement useful, exciting features like auto-completion of handwriting in PDAs." @default.
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- W2131076549 date "2007-09-01" @default.
- W2131076549 modified "2023-10-16" @default.
- W2131076549 title "Fréchet Distance Based Approach for Searching Online Handwritten Documents" @default.
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- W2131076549 doi "https://doi.org/10.1109/icdar.2007.4378752" @default.
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