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ICDAR
2009
IEEE

Word-Based Adaptive OCR for Historical Books

10 years 8 months ago
Word-Based Adaptive OCR for Historical Books
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/text and simultaneously handling entire class. The paper describes the architecture of such a system and new algorithms that have been developed for robust word image comparison (including registration, optical flow based distortion compensation, and adaptive binarization). Results for a large dataset are presented as well. Over 23% recognition improvement is demonstrated.
Vladimir Kluzner, Asaf Tzadok, Yuval Shimony, Euge
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICDAR
Authors Vladimir Kluzner, Asaf Tzadok, Yuval Shimony, Eugene Walach, Apostolos Antonacopoulos
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