Al Azawi et al., 2014 - Google Patents
Context-dependent confusions rules for building error model using weighted finite state transducers for OCR post-processingAl Azawi et al., 2014
- Document ID
- 16861185594583290922
- Author
- Al Azawi M
- Breuel T
- Publication year
- Publication venue
- 2014 11th IAPR International Workshop on Document Analysis Systems
External Links
Snippet
In this paper, we propose a new technique to correct the OCR errors by means of weighted finite state transducers (WFST) with context-dependent confusion rules. We translate the OCR confusions which appear in the recognition outputs into edit operations, eg insertions …
- 230000001419 dependent 0 title abstract description 26
Classifications
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- G06F17/28—Processing or translating of natural language
- G06F17/2809—Data driven translation
- G06F17/2827—Example based machine translation; Alignment
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06F17/2845—Using very large corpora, e.g. the world wide web [WWW]
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- G—PHYSICS
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- G10—MUSICAL INSTRUMENTS; ACOUSTICS
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