Digital Pen to Convert Handwritten Trajectory to Image for Digit Recognition-Reference-Cited by-同舟云学术

Digital Pen to Convert Handwritten Trajectory to Image for Digit Recognition

Published:2018 Issue: Volume: Page:923-932
ISSN:1876-1100
Container-title:Advances in Communication, Devices and Networking
language:
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Author:

Ghosh Debjyoti,Goyal Sanchi,Kumar Rohit

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-7901-6_99

Reference9 articles.

1. Sato, T. Yamaguchi, and F. Harashima: Natural interface using pointing behavior for human–robot gestural interaction, IEEE Trans. Ind. Electron., 54, 2, pp. 1105–1112, Apr. 2007.

2. Y.S. Kim, B.S. Soh and S.G. Lee: A new wearable input device: SCURRY, IEEE Trans. Ind. Electron., vol. 52, no. 6, pp. 1490–1499, Dec 2009.

3. A.D. Cheok, Y. Qiu, K. Xu, and K.G. Kumar: Combined wireless hardware and real-time computer vision interface for tangible mixed reality, IEEE Trans. Ind. Electron., vol. 54, no. 4, pp. 2174–2189, Aug. 2007.

4. A. Akl: A Novel Accelerometer-based Gesture Recognition System, Department of Electrical and Computer Engineering, University of Toronto, 2010.

5. S.K. Devireddy, S.A. Rao: Hand written character Recognition Using Back Propagation Network, Journal of Theoretical and Applied Information Technology, pp. 1–13, 2005.

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