Indexing of Technical Line Drawing Databases
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing records from the extracted cells of microfilm tables
Proceedings of the 2002 ACM symposium on Document engineering
Research on Chinese financial invoice recognition technology
Pattern Recognition Letters
A Tabular Survey of Automated Table Processing
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
Precise Table Recognition by Making Use of Reference Tables
DAS '98 Selected Papers from the Third IAPR Workshop on Document Analysis Systems: Theory and Practice
A Theoretical Foundation and a Method for Document Table Structure Extraction and Decompositon
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Table Detection via Probability Optimization
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
Making Documents Work: Challenges for Document Understanding
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
Table Detection in Online Ink Notes
IEEE Transactions on Pattern Analysis and Machine Intelligence
From Tessellations to Table Interpretation
Calculemus '09/MKM '09 Proceedings of the 16th Symposium, 8th International Conference. Held as Part of CICM '09 on Intelligent Computer Mathematics
Analysis and taxonomy of column header categories for web tables
DAS '10 Proceedings of the 9th IAPR International Workshop on Document Analysis Systems
Table detection in document images using header and trailer patterns
Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing
Model based table cell detection and content extraction from degraded document images
Proceeding of the workshop on Document Analysis and Recognition
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We develop a strategy for extracting the underlying relational information from the images of printed tables. Visual clues that exist in the image are used for extracting first the physical, and then the logical structure of the table. Since these visual clues generally have a logical meaning, there must be some association made between the graphical attributes extracted and their function of reflecting the logic expressed by the table; this knowledge is coordinated in a model. This approach, therefore, can be adapted to all tables which have graphical attributes discernible to the image analysis being used.