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OCR Error Correction Using Character Correction and Feature-Based Word Classification
April 21, 2016 Β· Declared Dead Β· π International Workshop on Document Analysis Systems
"No code URL or promise found in abstract"
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Authors
Ido Kissos, Nachum Dershowitz
arXiv ID
1604.06225
Category
cs.IR: Information Retrieval
Cross-listed
cs.CL
Citations
74
Venue
International Workshop on Document Analysis Systems
Last Checked
3 months ago
Abstract
This paper explores the use of a learned classifier for post-OCR text correction. Experiments with the Arabic language show that this approach, which integrates a weighted confusion matrix and a shallow language model, improves the vast majority of segmentation and recognition errors, the most frequent types of error on our dataset.
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