Automated Scene Text Detection Systems: An Imminent Progress

Simarjit Singh, Sukhpreet Kaur, Sachin Bhardwaj
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Abstract

In this techno-savvy world, digitalization has become a part of our daily lives and has various applications in every field of work. For example, an automatic scene text detection system utilizes a video camera to capture the frames and then detect and recognize the text on the frames to help in different applications like navigation for blind people, sign detection, text retrieval, etc. So, it is essential to understand the current state of the work done in this field. Therefore, in this paper, with the same objective, the theoretical analysis includes the details of the present benchmark datasets, existing systems, and approaches. Moreover, the current methods' shortcomings are also discussed in this paper, along with the future requirement which will help the researchers to target their objectives.
自动场景文本检测系统:一个迫在眉睫的进展
在这个科技发达的世界里,数字化已经成为我们日常生活的一部分,并在每个工作领域都有各种各样的应用。例如,自动场景文本检测系统利用摄像机捕获帧,然后检测和识别帧上的文本,以帮助盲人导航,标志检测,文本检索等不同的应用。因此,了解在这一领域所做的工作的现状是至关重要的。因此,在本文中,在同样的目标下,理论分析包括了现有基准数据集、现有系统和方法的细节。此外,本文还讨论了现有方法的不足之处,以及未来的需求,这将有助于研究人员有针对性地进行研究。
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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