Recognition of Handwritten Digit in Free Space-Reference-Cited by-同舟云学术

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Recognition of Handwritten Digit in Free Space

Published:2021 Issue: Volume: Page:313-320
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Behera Manas Chandan,Shivalal Patro B.,Gupta Ritik

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-33-4866-0_39

Reference15 articles.

1. S. Ahlawat, A. Choudhary, A. Nayyar, S. Singh, B. Yoon, Improved handwritten digit recognition using convolution neural network (CNN). Sensor 20, 3344 (2020). https://doi.org/10.3390/s20123344

2. J.-S. Wang, F.-C. Chuang, An accelerometer-based digital pen with a trajectory recognition algorithm for handwritten digit and gesture recognition. IEEE Trans. Ind. Electron. 59(7), 2998–3007 (2012)

3. E. Sato, T. Yamaguchi, F. Harashima, Natural interface using pointing behaviour for human-robot gesture interaction. IEEE Trans. Ind. Electron. 54(2), 1105–1112 (2007)

4. A.D. Cheok, Y. Qiu, K. Xu, K.G. Kumar, Combined wireless hardware and real-time computer vision interface for tangible mixed reality. IEEE Trans. Ind. Electron. 54(4), 2174–2189 (2007)

5. T.S. Ajay, Handwritten digit recognition using convolution neural networks. Int. Res. J. Eng. Technol. (IRJET) 4(7), 2971–2976 (2017)

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