A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Intelligent forms processing system
Machine Vision and Applications - Special issue: document image analysis techniques
Multiresolution Analysis in Extraction of Reference Lines from Documents with Gray Level Background
IEEE Transactions on Pattern Analysis and Machine Intelligence
Form Item Extraction Based on Line Searching
Selected Papers from the First International Workshop on Graphics Recognition, Methods and Applications
Consensus-Based Table Form Recognition
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
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Based on gradient and wavelet analyses, a novel scheme has been developed to extract table structures from skewed form document images. In this scheme, first, a skewed form document image is rotated according to the angle obtained from the gradient algorithm. Then the deskewed image is decomposed into four sub-images by divisible Multiresolution Analysis(MRA) wavelets. Afterwards, the table structure image which represents the geometric structure of the form can be obtained from the sub-images by a modified wavelet reconstruction algorithm. Meanwhile, another document image without table lines can be produced by Minkowski operation and is referred to as a table free image. Experimental results indicate that this new scheme can be applied to process the skewed form document images with promising achievements.