@inproceedings{f8702a847e0745939ada38ba1856f448,
title = "A fast approach to detect and correct skew documents",
abstract = "In this paper, a fast approach is proposed to detect and correct the skew documents. In this proposed approach, a coarse skew angle /spl theta//sub e/ is first estimated to decrease the heavily computational burden. Next, the exact skew angle /spl theta/ located in the previously estimated range [/spl theta//sub e/-3, /spl theta//sub e/+3] is then determined by making use of the Hough transform method. In addition to the skew angle detection. The skew image is quickly corrected by decomposing the traditional geometric rotation into a translation and a local rotation process. A mapping table which stores the local rotation information is employed to avoid the large floating-point operations and speed up the rotation process on general-purpose computers. Experimental results are conducted to verify the feasibility and efficiency of our proposed method.",
keywords = "Hough, detection, skew, skew correctton, transform",
author = "Jiang, {Huei Fen} and Han, {Chin Chuan} and Fan, {Kuo Chin}",
year = "1996",
doi = "10.1109/ICPR.1996.547267",
language = "???core.languages.en_GB???",
isbn = "081867282X",
series = "Proceedings - International Conference on Pattern Recognition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "742--746",
booktitle = "Track C",
note = "13th International Conference on Pattern Recognition, ICPR 1996 ; Conference date: 25-08-1996 Through 29-08-1996",
}