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Journal of Computer and Systems Sciences International

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01-05-2019 | ARTIFICIAL INTELLIGENCE

Neural Network Training System for Marker Encoding

Authors: L. P. Wang, O. V. Grinchuk, V. I. Tsurkov

Published in: Journal of Computer and Systems Sciences International | Issue 3/2019

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Abstract

In this paper, we propose a training system for visual markers that provides the generation and subsequent recognition (under real-world conditions) of stylized images that contain information encoded by a sequence of bits. New types of neural network layers that make the recognition process tolerant to external noise are developed. The training process is based on the end-to-end principle, which enables automatic training for the intermediate stages of the model. The experimental results that demonstrate the performance of the system in encoding and decoding artificial markers are presented.

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Title: Neural Network Training System for Marker Encoding
Authors: L. P. Wang
O. V. Grinchuk
V. I. Tsurkov
Publication date: 01-05-2019
Publisher: Pleiades Publishing
Published in: Journal of Computer and Systems Sciences International / Issue 3/2019
Print ISSN: 1064-2307
Electronic ISSN: 1555-6530
DOI: https://doi.org/10.1134/S1064230719030195

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