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...
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