Table decomposition is really an adjunct of the more general task of technical drawing and figure decomposition. We are constantly building and refining the tools that allow us to do any component part of these tasks. Included is the extraction, storage, and access of generic image features. Currently, one long-term goal of the lab is a project we call Feature Center, which defines primitives and access operators for generic feature objects. The idea is to create a standard toolbox and API that is general enough to be used for all types of features, thus allowing an application programmer to easily plug in and use the particular feature extraction engines he might need for a particular application. For example, multiple OCR engines could easily be tried on a particular problem. The only thing to write would be the glue between the particular engine and Feature Center. And of course, once that is written, the engine can be used over repeatedly without having to be written again. Furthermore, it simplifies the coding process by standardizing feature access methods.