Skew Detection Algorithm for Form Document Based on Elongate Feature
Identifieur interne : 000E08 ( Main/Merge ); précédent : 000E07; suivant : 000E09Skew Detection Algorithm for Form Document Based on Elongate Feature
Auteurs : Feng-Ying Xie [République populaire de Chine] ; Zhi-Guo Jiang [République populaire de Chine] ; Lei Wang [Allemagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: One new and efficient skew detection algorithm is proposed for form documents according to the feature that the horizontal line has the same skew with the form. This algorithm includes the following steps: Firstly, all horizontal connected regions, including horizontal straight-lines, are extracted from the form document by directional region growing method presented in this paper; Secondly, the optimal line is selected from all horizontal connected regions based on the elongate of connected region; Thirdly, all the pixels belonging to the optimal line are considered to calculate the line parameters with linear least-square theory. The skew angle of the optimal line is just the form skew angle. One elongate function is defined in this paper which described the elongate feature correctly for the band-like connected region. The experiment results show that the form skew angle can be detected accurately, and this skew detection algorithm is fast and robust.
Url:
DOI: 10.1007/978-3-540-74198-5_10
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