Simple Layout Segmentation of Gray-Scale Document Images
Identifieur interne : 001859 ( Main/Exploration ); précédent : 001858; suivant : 001860Simple Layout Segmentation of Gray-Scale Document Images
Auteurs : A. Suvichakorn [Thaïlande] ; S. Watcharabusaracum [Thaïlande] ; W. Sinthupinyo [Thaïlande]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2002.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
Abstract: A simple yet effective layout segmentation of document images is proposed in this paper. First, n x n blocks are roughly labeled as background, line, text, images, graphics or mixed class. For blocks in mixed class, they are split into 4 sub-blocks and the process repeats until no mixed class is found. By exploiting Savitzky-Golay derivative filter in the classification, the computation of features is kept to the minimum. Next, the boundaries of each object are refined. The experimental results yields a satisfactory results as a pre-process prior to OCR.
Url:
DOI: 10.1007/3-540-45869-7_28
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: A simple yet effective layout segmentation of document images is proposed in this paper. First, n x n blocks are roughly labeled as background, line, text, images, graphics or mixed class. For blocks in mixed class, they are split into 4 sub-blocks and the process repeats until no mixed class is found. By exploiting Savitzky-Golay derivative filter in the classification, the computation of features is kept to the minimum. Next, the boundaries of each object are refined. The experimental results yields a satisfactory results as a pre-process prior to OCR.</div>
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