22 December 1999 How to find mathematics on a scanned page
Author Affiliations +
Proceedings Volume 3967, Document Recognition and Retrieval VII; (1999); doi: 10.1117/12.373482
Event: Electronic Imaging, 2000, San Jose, CA, United States
We describe the design of document analysis procedures to separate mathematics from ordinary text on a scanned page of mixed material. It is easy to observe that the accuracy of commercial OCR programs is helped by separating mixed material into two (or more) streams, with conventional non-math text handled by the usual OCR text-based-heuristics analysis. The second stream, consisting of material judged to be mathematics, can be fed to a specialized recognizer. If that fails to decode it, it can be passed on to yet a third stream including diagrams, logos, or other miscellaneous material, perhaps including halftones. We explore the extent to which this separation can be automated in the context of scanning archival material for a digital library project including mathematical and scientific journal pages.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard J. Fateman, "How to find mathematics on a scanned page", Proc. SPIE 3967, Document Recognition and Retrieval VII, (22 December 1999); doi: 10.1117/12.373482; http://dx.doi.org/10.1117/12.373482


Optical character recognition

Computing systems

Digital libraries

Image processing

Mathematical modeling

Associative arrays

Back to Top