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    题名: Restoring Warped Document Image Based on Text Line Correction
    作者: Hsieh, Ching-Tang;Lee, Sheng-Chao;Yeh, Cheng-Hsiang
    贡献者: 淡江大學電機工程學系
    关键词: Document image;Warping;Morphology;Text line
    日期: 2013-06-18
    上传时间: 2013-06-20 19:40:20 (UTC+8)
    出版者: AICIT, Korea(Rep. of)
    摘要: Document images captured by camera 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. First, due to the broken text result of Otsu binarization, an image preprocessing 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. Finally, we use linear compensation for horizontal direction rectification. Experimental results demonstrate the robustness of the proposed methodology and improve the accuracy rate of OCR recognition.
    關聯: Research Notes in Information Science (RNIS), pp.459-464
    显示于类别:[電機工程學系暨研究所] 會議論文


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