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《Journal of Huazhong University of Science and Technology》 2005-08
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Fast detecting and rectifying slanting image in table-form documents based on run-length features

Guan JibinMing DelieGuan JibinSenior Engineer; Collee of Electronics & Information Eng., Beijing University of Posts and Telecommunications, Beijing, 100876, China.  
According to the features of the form image in form recognition system, a new algorithm based on run-length feature was put forth for detecting and rectifying the slanting form image fast. After analyzing the run-length features distribution histogram, the max run-length group was extracted. In the image, there is a line corresponding to this max run-length group, and the whole images slanting angle and direction can be decided by computing the lines slanting angle. By using the linear block moving method in each vertical and horizontal segment, this rectification, and enhanced the executive speed of slanting rectification. The research fruits have been applied to practical system, indicating the technique is feasible, robust and efficient.
【Fund】: 地理空间信息工程国家测绘局重点实验室开放课题基金资助项目(2004.09)
【CateGory Index】: TP391.41
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