Abstract
Video OCR is a technique that can greatly help to locate the topics of interest in video via the automatic extraction and reading of captions and annotations. Text in video can provide key indexing information. Recognizing such text for search application is critical. Major difficult problem for character recognition for videos is degraded and deformated characters, low resolution characters or very complex background. To tackle the problem preprocessing on text image plays vital role. Most of the OCR engines are working on the binary image so to find a better binarization procedure for image to get a desired result is important.Accurate binarization process minimizes the error rate of video OCR.
Abstract (translated by Google)
视频OCR是一种通过自动提取和阅读字幕和注释可以极大地帮助定位视频中感兴趣的主题的技术。视频中的文本可以提供关键的索引信息。认识到这样的搜索应用文本是至关重要的。视频字符识别的主要难题是降级和变形字符，低分辨率字符或非常复杂的背景。为了解决这个问题，预处理文本图像起着至关重要的作用。大多数OCR引擎正在处理二值图像，以便找到一个更好的图像二值化过程来获得所需的结果是非常重要的。准确的二值化过程可以最大限度地减少视频OCR的错误率。
URL
https://arxiv.org/abs/1109.6862