Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/39965
Title: Straightening warped text lines using polynomial regression
Authors: Zhang, Z. 
Tan, C.L. 
Issue Date: 2002
Source: Zhang, Z.,Tan, C.L. (2002). Straightening warped text lines using polynomial regression. IEEE International Conference on Image Processing 3 : III/977-III/980. ScholarBank@NUS Repository.
Abstract: Perspective distortion always occurs while scanning thick, bound documents, resulting in two problems in the scanned grayscale image - (i) shadow along the 'spine' of the book, and (ii) warping of words in the shadow area. We proposed a restoration system to solve these two problems in our previous paper [1]. However the shape of the warped words was not fully restored, since we simply shifted and rotated the warped word. In this paper, we will propose a better method to straighten warped text line using polynomial regression. The implementation results comparing with those of the old system have shown a marked improvement in the image restoration.
Source Title: IEEE International Conference on Image Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/39965
Appears in Collections:Staff Publications

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