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KES
2005
Springer

An OCR Post-processing Approach Based on Multi-knowledge

13 years 9 months ago
An OCR Post-processing Approach Based on Multi-knowledge
This paper proposes an OCR post-processing approach based on multi-knowledge, which integrates language knowledge and candidate distance information given by the OCR engine. In this approach, statistical language model and semantic lexicon are combined, and candidate distance information is used to reduce the size of the search space. The experimental results show that this approach is very effective. After postprocessing, the recognition accuracy rate on the test set increases from 58.45% to 83.73%, which means 60.84% error reduction.
Li Zhuang, Xiaoyan Zhu
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where KES
Authors Li Zhuang, Xiaoyan Zhu
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