A new framework for recognition of heavily degraded characters in historical typewritten documents based on semi-supervised clustering

Pletschacher, S; Hu, J; Antonacopoulos, A

doi:10.1109/ICDAR.2009.267

All Outputs (4)

Restricted self-care and looking after the home in adults 50 years and older with hand osteoarthritis: prevalence and links with joint-specific characteristics (2009)
Conference Proceeding
Prior, Y., Wilkie, R., Nicholls, E., & Myers, H. (2009). Restricted self-care and looking after the home in adults 50 years and older with hand osteoarthritis: prevalence and links with joint-specific characteristics.

Background: The consequences of hand osteoarthritis (OA) are not completely understood. Restriction in self-care and looking after the home are important predictors of increasing disability and are key indicators for home aid services and increased h... Read More about Restricted self-care and looking after the home in adults 50 years and older with hand osteoarthritis: prevalence and links with joint-specific characteristics.

Braking characteristics and load distribution in 180º turns (2009)
Conference Proceeding
Graham-Smith, P., Atkinson, L., Barlow, R., & Jones, P. (2009). Braking characteristics and load distribution in 180º turns.

Word-Based adaptive OCR for historical books (2009)
Conference Proceeding
Kluzner, V., Tzadok, A., Shimony, Y., Walach, E., & Antonacopoulos, A. (2009). Word-Based adaptive OCR for historical books. In 2009 10th International Conference on Document Analysis and Recognition. https://doi.org/10.1109/ICDAR.2009.133

The aim of this work is to propose a new approach to the recognition of historical texts by providing an adaptive mechanism that automatically tunes itself to a specific book. The system is based on clustering together all the similar words in a book... Read More about Word-Based adaptive OCR for historical books.

A new framework for recognition of heavily degraded characters in historical typewritten documents based on semi-supervised clustering (2009)
Conference Proceeding
Pletschacher, S., Hu, J., & Antonacopoulos, A. (2009). A new framework for recognition of heavily degraded characters in historical typewritten documents based on semi-supervised clustering. In 2009 10th International Conference on Document Analysis and Recognition. https://doi.org/10.1109/ICDAR.2009.267

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.