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Text extraction from images captured via mobile and digital devices

机译:从通过移动和数字设备捕获的图像中提取文本

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The paper presents the development of a human-machine interactive software application, specifically useful for text extraction from images, which are captured using mobile and digital devices with cameras. This software is the principal part of a full application, which is being developed to translate the text in such a captured image to another language. The full application will comprise of two stages: a processing stage (which is the part of concern in this paper) and a recognition stage. In the processing stage, an intelligent and adaptive algorithm will yield the essential information from the raw image. This paper will focus mainly on the development of the processing stage. In the recognition stage, the extracted text will be interpreted and translated through an optical character recognition (OCR) engine, which is widely available. The effectiveness of the proposed algorithm in meeting the challenges behind the processing of such images will be highlighted with real images.
机译:本文介绍了人机交互软件应用程序的开发,该应用程序特别适用于从图像中提取文本,这些图像是使用带有照相机的移动和数字设备捕获的。该软件是完整应用程序的主要部分,正在开发该应用程序以将这样捕获的图像中的文本翻译成另一种语言。完整的应用程序将包括两个阶段:处理阶段(这是本文关注的部分)和识别阶段。在处理阶段,一种智能且自适应的算法将从原始图像中获取基本信息。本文将主要侧重于加工阶段的发展。在识别阶段,将通过广泛使用的光学字符识别(OCR)引擎来解释和翻译提取的文本。所提出的算法在应对此类图像处理背后的挑战方面的有效性将以真实图像突出显示。

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