Skew Estimation and Correction for Form Documents Using Wavelet Decomposition
Identifieur interne : 001251 ( Main/Exploration ); précédent : 001250; suivant : 001252Skew Estimation and Correction for Form Documents Using Wavelet Decomposition
Auteurs : Dihua Xi [Canada] ; Mohamed Kamel [Canada] ; Seong-Whan Lee [Corée du Sud]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
Abstract
Abstract: Form document image processing has become an increasingly essential technology in office automation tasks. One of the problems is that the document image may appear skewed for many reasons. Therefore, the skew estimation plays an important role in any automatic document analysis system. In the past few years, many algorithms have been developed to detect the skew angle of text document images. However, these algorithms suffer from two major deficiencies. Firstly, most of them suppose that the original image is monochrome and therefore they are not suitable to apply to documents with a complicated background. Secondly, most of the current methods were developed for general document images that are not as complicated as form documents. In this paper, we present a new approach to skew detection for grey-level form document images. In our system, image decomposition by 2D wavelet transformations is used to estimate the skew angle.
Url:
DOI: 10.1007/11559573_23
Affiliations:
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One of the problems is that the document image may appear skewed for many reasons. Therefore, the skew estimation plays an important role in any automatic document analysis system. In the past few years, many algorithms have been developed to detect the skew angle of text document images. However, these algorithms suffer from two major deficiencies. Firstly, most of them suppose that the original image is monochrome and therefore they are not suitable to apply to documents with a complicated background. Secondly, most of the current methods were developed for general document images that are not as complicated as form documents. In this paper, we present a new approach to skew detection for grey-level form document images. In our system, image decomposition by 2D wavelet transformations is used to estimate the skew angle.</div></front></TEI><affiliations><list><country><li>Canada</li><li>Corée du Sud</li></country><settlement><li>Séoul</li></settlement></list><tree><country name="Canada"><noRegion><name sortKey="Xi, Dihua" sort="Xi, Dihua" uniqKey="Xi D" first="Dihua" last="Xi">Dihua Xi</name></noRegion><name sortKey="Kamel, Mohamed" sort="Kamel, Mohamed" uniqKey="Kamel M" first="Mohamed" last="Kamel">Mohamed Kamel</name><name sortKey="Kamel, Mohamed" sort="Kamel, Mohamed" uniqKey="Kamel M" first="Mohamed" last="Kamel">Mohamed Kamel</name><name sortKey="Xi, Dihua" sort="Xi, Dihua" uniqKey="Xi D" first="Dihua" last="Xi">Dihua Xi</name></country><country name="Corée du Sud"><noRegion><name sortKey="Lee, Seong Whan" sort="Lee, Seong Whan" uniqKey="Lee S" first="Seong-Whan" last="Lee">Seong-Whan Lee</name></noRegion><name sortKey="Lee, Seong Whan" sort="Lee, Seong Whan" uniqKey="Lee S" first="Seong-Whan" last="Lee">Seong-Whan Lee</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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