Design of a two-stage ASCII recognizer for the case-sensitive inputs in handwritten and gesticulation mode of the text-entry interface
Author:
Funder
Science and Engineering Research Board
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18261-5.pdf
Reference57 articles.
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2. Singha J, Misra S, Laskar RH (2016) Effect of variation in gesticulation pattern in dynamic hand gesture recognition system. Neurocomputing 208:269–280
3. Tappert CC, Suen CY, Wakahara T (1990) The state of the art in online handwriting recognition. IEEE Tran on Pattern Analy Mach Intell 12:787–808. https://doi.org/10.1109/34.5766
4. Cohen G, Afshar S, Tapson J, Van Schaik A (2017) EMNIST: extending MNIST to handwritten letters. Proc Int Jt Conf Neural Networks 2017-May 2921–2926. https://doi.org/10.1109/IJCNN.2017.7966217
5. Misra S, Singha J, Laskar RH (2018) Vision-based hand gesture recognition of alphabets, numbers, arithmetic operators and ASCII characters in order to develop a virtual text-entry interface system. Neural Comput Appl 29:117–135. https://doi.org/10.1007/s00521-017-2838-6
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