Share Email Print
cover

Proceedings Paper

Automated search and retrieval of information from imaged documents using optical correlation techniques
Author(s): Bruce W. Stalcup; Phillip W. Dennis; Robert Barry Dydyk
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Litton PRC and Litton Data Systems Division are developing a system, the Imaged Document Optical Correlation and Conversion System (IDOCCS), to provide a total solution to the problem of managing and retrieving textual and graphic information from imaged document archives. At the heart of IDOCCS, optical correlation technology provides the search and retrieval of information from imaged documents. IDOCCS can be used to rapidly search for key words or phrases within the imaged document archives. In addition, IDOCCS can automatically compare an input document with the archived database to determine if it is a duplicate, thereby reducing the overall resources required to maintain and access the document database. Embedded graphics on imaged pages can also be exploited; e.g., imaged documents containing an agency's seal or logo can be singled out. In this paper, we present a description of IDOCCS as well as preliminary performance results and theoretical projections.

Paper Details

Date Published: 1 October 1999
PDF: 10 pages
Proc. SPIE 3804, Algorithms, Devices, and Systems for Optical Information Processing III, (1 October 1999); doi: 10.1117/12.363979
Show Author Affiliations
Bruce W. Stalcup, Litton PRC (United States)
Phillip W. Dennis, Litton Data Systems Div. (United States)
Robert Barry Dydyk, Litton Data Systems Div. (United States)


Published in SPIE Proceedings Vol. 3804:
Algorithms, Devices, and Systems for Optical Information Processing III
Bahram Javidi; Demetri Psaltis, Editor(s)

© SPIE. Terms of Use
Back to Top