An interactive method for accessing tables in HTML
Assets '98 Proceedings of the third international ACM conference on Assistive technologies
Improving the accessibility of aurally rendered HTML tables
Proceedings of the fifth international ACM conference on Assistive technologies
Navigation of HTML tables, frames, and XML fragments
Proceedings of the fifth international ACM conference on Assistive technologies
Layout and Language: Preliminary Investigations in Recognizing the Structure of Tables
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Detecting Tables in HTML Documents
DAS '02 Proceedings of the 5th International Workshop on Document Analysis Systems V
ICDAR '97 Proceedings of the 4th International Conference on Document Analysis and Recognition
Robust table-form structure analysis based on box-driven reasoning
ICDAR '95 Proceedings of the Third International Conference on Document Analysis and Recognition (Volume 1) - Volume 1
Tabular abstraction, editing, and formatting
Tabular abstraction, editing, and formatting
Rendering tables in audio: the interaction of structure and reading styles
Assets '04 Proceedings of the 6th international ACM SIGACCESS conference on Computers and accessibility
A survey of table recognition: Models, observations, transformations, and inferences
International Journal on Document Analysis and Recognition
Learning to recognize tables in free text
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Table extraction using conditional random fields
dg.o '03 Proceedings of the 2003 annual national conference on Digital government research
Notes on contemporary table recognition
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
Setting the table for the blind
Proceedings of the 4th International Conference on PErvasive Technologies Related to Assistive Environments
Teaching spreadsheets to visually-impaired students in an environment similar to a mainstream class
Proceedings of the 18th ACM conference on Innovation and technology in computer science education
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Detecting tables in a spreadsheet is the first step needed to make spreadsheet documents accessible to individuals with visual disabilities. Techniques to enable aural presentation and navigation of tables have been proposed, but they assume a thorough knowledge of the structure of the table; on the other hand, boundaries and structure of tables in a spreadsheet are not evident without a visual exploration. This paper presents an algorithm for table recognition in spreadsheets. The algorithm uses three types of cells as its basis: title cell, header cell, and data cell. Different attributes of the cells are used to identify the cell type within a spreadsheet. Hierarchical clustering is used to aggregate cells to compose the functional components of a table. The algorithm has been evaluated on a diverse set of benchmarks with very encouraging results.