Robust Extraction of Text from Camera Images

S. Chowdhury, Soumyadeep Dhar, A. Das, B. Chanda, K. McMenemy
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引用次数: 21

Abstract

Text within a camera grabbed image can contain a huge amount of meta data about that scene. Such meta data can be useful for identification, indexing and retrieval purposes.Detection of colored scene text is a new challenge for all camera based images.Common problems for text extraction from camera based images are the lack of prior knowledge of any kind of text features such as color, font, size and orientation.In this paper we propose a new algorithm for the extraction of text from an image which can overcome these problems. In addition, problems due to an unconstrained complex background in the scene has also been addressed.Here a new technique is applied to determine the discrete edges around the text boundaries. A novel methodology is also proposed to extract the text exploiting its appearance in terms of color and spatial distribution.
从相机图像中提取文本的鲁棒性
相机抓取的图像中的文本可能包含关于该场景的大量元数据。这样的元数据可以用于标识、索引和检索目的。彩色场景文本的检测是所有基于相机图像的新挑战。从基于相机的图像中提取文本的常见问题是缺乏任何类型的文本特征(如颜色、字体、大小和方向)的先验知识。在本文中,我们提出了一种新的从图像中提取文本的算法来克服这些问题。此外,还解决了场景中不受约束的复杂背景所带来的问题。这里应用了一种新的技术来确定文本边界周围的离散边缘。本文还提出了一种利用文本外观的颜色和空间分布来提取文本的新方法。
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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