基于Ote-OCR的视频帧文本识别与提取

Shashank Shetty, Arun S. Devadiga, S. Chakkaravarthy, K. A. Varun Kumar
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引用次数: 15

摘要

本文的目标是提供一种从视频帧中检测和识别文本的新方法。所执行的任务分为三步方法,将视频帧中的文本检测和文本识别相结合。视频帧的创建涉及到将视频分成单独的帧。单个帧被抓取并传递到剩下的两个阶段。文本检测分为两步,包括文本定位阶段和文本验证阶段。文本识别包括文本验证阶段和光学字符识别阶段。本文的最终成果是从一个word文件的视频帧中检测文本。实验结果表明,光学字符识别(OCR)在文本提取方面具有较高的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ote-OCR based text recognition and extraction from video frames
The goal of this paper is to provide a new method to detect and recognize the text from the video frames. The task performed is divided into three step approach that combines the text detection and text recognition from the video frame. The video frame creation involves in dividing the video into an individual frames. The individual frame is grabbed and passed to the rest two phases. The text detection is a two-step approach, which involves text localization phase and the text verification phase. The text recognition involves in text verification phase and the optical character recognition phase. The final outcome of this paper is the detection of the text from the video frames in a word file. Experimental results demonstrating the proposed approach was also included, which shows the accuracy level of Optical character recognition(OCR) in terms of text extraction.
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