A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Document Processing for Automatic Knowledge Acquisition
IEEE Transactions on Knowledge and Data Engineering
SLIDE: Subspace-Based Line Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Twenty Years of Document Image Analysis in PAMI
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parameter-Free Geometric Document Layout Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Table Structure Extraction from Form Documents
DAS '98 Selected Papers from the Third IAPR Workshop on Document Analysis Systems: Theory and Practice
Reference Line Extraction from Form Documents with Complicated Backgrounds
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Consensus-Based Table Form Recognition
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Graph Grammar Based Analysis System of Complex Table Form Document
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Based on wavelets, a new theoretical method has been developed to process multi-gray level documents. In this method, two-dimensional multiresolution analysis, wavelet decomposition algorithm, and compactly supported orthonormal wavelets are used to transform a document image into sub-images. According to these sub-images, the reference lines of a multi-gray level document can be extracted, and knowledge about the geometric structure of the document can be acquired. Particularly, this approach is more efficient to process form documents with gray level background. Experiments indicate that this new method can be applied to process documents with promising results.