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%.

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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.

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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.

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