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A new framework for recognition of heavily degraded characters in historical typewritten documents based on semi-supervised clustering (2009)
Presentation / Conference Contribution

This paper presents a new semi-supervised clustering
framework to the recognition of heavily degraded characters
in historical typewritten documents, where off-theshelf
OCR typically fails. The constraints are generated
using typographical (colle... Read More about A new framework for recognition of heavily degraded characters in historical typewritten documents based on semi-supervised clustering.