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The wide usage of touch-screen based mobile devices has led to a large volume of the users preferring touch-based interaction with the machine, as opposed to traditional input via keyboards/mice. To exploit this, we focus on the Android platform to design a personalized handwriting recognition system that is acceptably fast, light-weight, possessing a user-friendly interface with minimally-intrusive correction and auto-personalization mechanisms. Since cursive writing on smaller screens is not usual, here we study non-cursive handwriting only. The recognition is done at character level using nearest-neighbor matching to a small, automatically user-adaptive and dynamically updating library of charater class template gestures.

Added on September 4, 2017

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  • Contributed by : OHWR Consortium
  • Product Type : Research Paper
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  • Author : D. Dutta, A. Roy Chowdhury ,U. Bhattacharya , S. K. Parui
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