论文标题
野外文本识别：一项调查
Text Recognition in the Wild: A Survey
论文作者
论文摘要
文本的历史可以追溯到数千年的历史。在各种基于视觉的应用程序场景中，文本携带的丰富而精确的语义信息很重要。因此，自然场景中的文本识别一直是计算机视觉和模式识别的积极研究领域。近年来，随着深度学习的兴起和发展，许多方法在创新，实用性和效率方面表现出了希望。本文旨在（1）总结与场景文本识别相关的基本问题和最新问题； （2）介绍新的见解和思想； （3）对公开资源进行全面审查； （4）指出未来工作的指示。总而言之，这篇文献综述试图介绍场景文本识别领域的整个图片。它为进入该领域的人们提供了全面的参考，并可能有助于激发未来的研究。相关资源可在我们的GITHUB存储库中获得：https：//github.com/hciilab/scene-text-recognition。
The history of text can be traced back over thousands of years. Rich and precise semantic information carried by text is important in a wide range of vision-based application scenarios. Therefore, text recognition in natural scenes has been an active research field in computer vision and pattern recognition. In recent years, with the rise and development of deep learning, numerous methods have shown promising in terms of innovation, practicality, and efficiency. This paper aims to (1) summarize the fundamental problems and the state-of-the-art associated with scene text recognition; (2) introduce new insights and ideas; (3) provide a comprehensive review of publicly available resources; (4) point out directions for future work. In summary, this literature review attempts to present the entire picture of the field of scene text recognition. It provides a comprehensive reference for people entering this field, and could be helpful to inspire future research. Related resources are available at our Github repository: https://github.com/HCIILAB/Scene-Text-Recognition.
