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- W2012146941 abstract "This article describes a recent effort for database creation and recognition of online handwritten isolated basic characters of Bangla, the second most popular script of the Indian subcontinent. It describes a scheme for extraction of sub-strokes from the online samples of handwritten Bangla characters, which are significantly cursive in shapes. The proposed recognition scheme includes a new feature vector to be computed for each sub-stroke. The recognition performance of the test samples of the present database is evaluated separately on two classifiers -- a Hidden Markov Model (HMM) based classifier and a nearest-neighbour classifier based on Dynamic Time Warping (DTW). The second classifier outperforms the HMM-based classifier for the present test set." @default.
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- W2012146941 date "2009-07-25" @default.
- W2012146941 modified "2023-10-16" @default.
- W2012146941 title "Database generation and recognition of online handwritten Bangla characters" @default.
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- W2012146941 doi "https://doi.org/10.1145/1577802.1577812" @default.
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