A filter based post-OCR accuracy boost system

Authors:
Eugene Borovikov;Ilya Zavorin;Mark Turner
Affiliations:
CACI International Inc., Lanham, MD;CACI International Inc., Lanham, MD;CACI International Inc., Lanham, MD
Venue:
Proceedings of the 1st ACM workshop on Hardcopy document processing
Year:
2004

Citing 2
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Abstract

Our current research effort aims at building a filter based post-OCR accuracy boost system that will combine different post-OCR correction filters to improve the OCR accuracy better than each individual filter can. In this paper we focus on a Hidden Markov Model (HMM) based accuracy booster modeling OCR engine noise generation as a two-layer stochastic process. We employ a commercial spell-checker both as another error correction filter and as a base line for accuracy boost comparison. We demonstrate the versatility of our approach in experiments with documents in English and Arabic.