Word-Based adaptive OCR for historical books

Kluzner, V, Tzadok, A, Shimony, Y, Walach, E and Antonacopoulos, A ORCID: https://orcid.org/0000-0001-9552-0233 2009, Word-Based adaptive OCR for historical books , in: Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on, 26-29 July 2009, Barcelona.

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Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Schools:	Schools > School of Computing, Science and Engineering Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Journal or Publication Title:	Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Publisher:	IEEE
Refereed:	Yes
Related URLs:	Publication
Funders:	Non funded research
Depositing User:	S Rafiq
Date Deposited:	19 Jun 2014 10:43
Last Modified:	15 Feb 2022 18:34
URI:	https://usir.salford.ac.uk/id/eprint/31898

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