文本内容友好视觉增强系统原型开发

IF 1.3 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

IET Networks Pub Date : 2022-10-14 DOI:10.1109/IET-ICETA56553.2022.9971624

W. Fang, Lam Tuyen Le, Chen-Han Yu

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引用次数: 0

摘要

本文提出了一个帮助用户提高阅读能力的系统。一个基于图像捕获、图像处理、分割和模式识别的阅读增强系统已经被开发出来。该系统不仅提供了比使用望远镜或智能手机更好的用户体验，而且还促进了高效阅读。本文的研究结果在课堂和实验室得到了验证。在未来，研究人员可以使用这个系统来研究眼镜的用户体验，或者帮助残疾人获得更好的学习效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Friendly Vision Enhancement System Prototype Development for Text Content

This paper proposes a system that helps users to enhance their reading ability. A reading enhancement system has been developed based on image capture, image processing, segmentation, and pattern recognition. This system not only provides a better user experience than using a telescope or just a smartphone but also facilitates efficient reading. The result of this paper has been validated in the classroom and laboratory. In the future, researchers can use this system to study the user experience of glasses or help disabled people to get better learning results.

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来源期刊

IET Networks COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

5.00

自引率

0.00%

发文量

审稿时长

33 weeks

期刊介绍： IET Networks covers the fundamental developments and advancing methodologies to achieve higher performance, optimized and dependable future networks. IET Networks is particularly interested in new ideas and superior solutions to the known and arising technological development bottlenecks at all levels of networking such as topologies, protocols, routing, relaying and resource-allocation for more efficient and more reliable provision of network services. Topics include, but are not limited to: Network Architecture, Design and Planning, Network Protocol, Software, Analysis, Simulation and Experiment, Network Technologies, Applications and Services, Network Security, Operation and Management.