Text Extraction from Indian and Non-Indian Natural Scene Images: A Review

Shilpa Mahajan, Rajneesh Rani
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引用次数: 3

Abstract

Natural scenic images usually contains textual data which may provide valuable information about the scene. To make this textual data useful, processing of scenic images involves various phases such as detection, localization, segmentation and recognition of text. First phase i.e. extraction of textual data plays an important role in further processing. Text extraction becomes difficult owing to variation in text font, size, skewness and noise in the captured image and is a challenge for the researchers. Over the years a lot of research has been dedicated to overcome these challenges and, this work presents extraction methods used for text in different Indian and non-Indian scripts. This article will provide academicians and practitioners with state of the art and future directions in this phase.
印度和非印度自然场景图像的文本提取综述
自然风景图像通常包含文本数据,可以提供有关该场景的有价值的信息。为了使这些文本数据有用,对风景图像的处理涉及到文本的检测、定位、分割和识别等各个阶段。第一阶段即文本数据的提取,在进一步的处理中起着重要的作用。由于捕获图像中文本字体、大小、偏度和噪声的变化,文本提取变得困难,是研究人员面临的一个挑战。多年来,许多研究都致力于克服这些挑战,这项工作提出了用于不同印度和非印度文字的文本提取方法。本文将为学者和从业者提供这一阶段的最新技术和未来方向。
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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