Cited By
View all- Prasad SSawant AShettigar RKhokale RSinha SMishra B(2011)iCruxProceedings of the International Conference & Workshop on Emerging Trends in Technology10.1145/1980022.1980162(646-651)Online publication date: 25-Feb-2011
We investigate a new approach for online handwritten shape recognition. Interesting features of this approach include learning without manual tuning, learning from very few training samples, incremental learning of characters, and adaptation to the user-...
For the analytic on-line recognition of handwriting, the range of pattern recognition problems can be described by the severity of letter segmentation required. More difficult problems require an interaction of letter segmentation and recognition. These ...
This article deals with a new handwritten dataset, Kyrgyz-MNIST, and recognition of handwritten Kyrgyz letters through the Artificial Neural Network. There were collected 89 023 manuscript samples of 36 Kyrgyz letters. Since 33 of the 36 letters in the ...
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