| Summary: | 碩士 === 淡江大學 === 電機工程學系碩士班 === 101 === This paper proposes a complete system which can be corrected captured document images into a readable file. Document images captured by camera or scanner often suffer from warping and distortions because of the bounded volumes and complex environment light source. These effects not only reduce the document readability but also the OCR recognition performance. In this paper, we propose a method to combine non-linear and linear compensation for correcting distortions of document images. Before we proceeding text rectification the page segment [19] and the text extraction [10] methods are applied as preprocessing. First, due to the broken text result of Otsu binarization, an image processing method [20] is used to remove the effect of background light. Second, the dewarping method using the cubic polynomial fitting equation is proposed to find out the optimal approximate text line for vertical direction rectification. Third, we use linear compensation for horizontal direction rectification. Finally, according to the word/sentence clicked by user the system will performing text to speech.
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