实验结果表明，该方法对文本区域提取是有效的，提取完整率达99%。
The experimental results show that the proposed approach is effective with integrality up to 99%.
本文针对文本区域提取这个问题来进行研究，包含预处理、多分辨分析、特征提取、分类(检测)、区域提取五个步骤来解决文本区域的准确提取问题。
In this thesis, we study on text detection. It includes five parts: pre-process, multi-scale analysis, feature extraction, classification and text area extraction.
对于特定的应用，提取出的文本区域经过进一步的处理，可以输入字符识别（OCR）系统中进行识别。
With further processing, these located text regions can be fed to existing optical character recognition (OCR) systems for specific applications.
实验表明，该算法可以提取视频帧中90%以上的文本区域，并且文本区域定位准确率达92.0%。
The experiments show that the algorithm can extract more than 90% of text regions contained in video frames and the precision can reach up to 92.0%.
实验表明，该算法可以提取视频帧中90%以上的文本区域，并且文本区域定位准确率达92.0%。
The experiments show that the algorithm can extract more than 90% of text regions contained in video frames and the precision can reach up to 92.0%.
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