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Uchenyye zapiski UlGU. Seriya "Matematika i informatsionnyye tekhnologii", 2017, Issue 1, Pages 1–4
(Mi ulsu117)
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The use of convolutional neural networks for mobile device user identification
A. A. Anisimov Ulyanovsk State University
Abstract:
The paper is devoted to the development of a neural network system for mobile device user identification based on the data obtained from the use of the touch screen. The existing identification systems were reviewed. To identify the owner of the device, a method of recognition is proposed that uses convolutional neural networks.
Keywords:
convolutional neural network, biometric identification, mobile device, touch screen.
Received: 21.06.2017 Revised: 24.09.2017
Citation:
A. A. Anisimov, “The use of convolutional neural networks for mobile device user identification”, Uchenyye zapiski UlGU. Seriya “Matematika i informatsionnyye tekhnologii”, 2017, no. 1, 1–4
Linking options:
https://www.mathnet.ru/eng/ulsu117 https://www.mathnet.ru/eng/ulsu/y2017/i1/p1
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Abstract page: | 32 | Full-text PDF : | 16 | References: | 10 |
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