Multilingual information identification and extraction from imaged documents using optical correlator technology

Bruce W. Stalcup; James Brower; Lou Vaughn; Mike Vertuno

doi:10.1117/12.453848

27 November 2002 Multilingual information identification and extraction from imaged documents using optical correlator

Bruce W. Stalcup, James Brower, Lou Vaughn, Mike Vertuno

Proceedings Volume 4789, Algorithms and Systems for Optical Information Processing VI; (2002) https://doi.org/10.1117/12.453848
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

Most organizations usually have large archives of paper documents that they maintain. These archives typically contain valuable information and data, which are imaged to provide electronic access. However, once a document is either printed or imaged, these organizations had no efficient method of retrieving information from these documents. The only methods available to retrieve information from them were to either manually read them or to convert them to ASCII text using optical character recognition (OCR). For most of the archives with large numbers of documents, these methods are problematic. Manual searches are not feasible. OCR, on the other hand, can be CPU intensive and prone to error. In addition, for many foreign languages, OCR engines do not exist. By contrast, our system provides an innovative approach to the problem of retrieving information from imaged document archives utilizing a client/server architecture. Since its beginning in 1999, we have made significant advances in the development of a system that employs optical correlation (OC) technology (either software or hardware) to access directly the textual and graphic information contained in imaged paper documents therefore eliminating the OCR process. It provides a fast, accurate means of accessing this information directly from multilingual documents. In addition, our system can also rapidly and accurately detect the presence of duplicate documents within an archive using optical correlation techniques. In this paper, we describe the present system and selected examples of its capabilities. We also present some performance results (accuracy, speed, etc.) against test document sets.

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Bruce W. Stalcup, James Brower, Lou Vaughn, and Mike Vertuno "Multilingual information identification and extraction from imaged documents using optical correlator", Proc. SPIE 4789, Algorithms and Systems for Optical Information Processing VI, (27 November 2002); https://doi.org/10.1117/12.453848

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KEYWORDS

Optical character recognition

Optical correlators

Image processing

Java

Visualization

Databases

Digital signal processing

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