Document Filtering for Fast Approximate String Matching of Errorneous Text

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ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Year:
2001

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Abstract

Abstract: It is important to utilize retrospective documents. OCR is the most widely applied technology for this purpose; however, error-tolerant methods are essential for utilizing OCR-processed documents. This paper discusses a filtering problem for OCR-processed documents that enables the handling of large numbers of OCR-processed documents in an error-tolerant way. We propose a systematic index design method for filtering and show that the filtering method speeds up by about 360 times for a database consisting of about two million records, with little decrease in accuracy.