Word-Based Adaptive OCR for Historical Books

  • Authors:
  • Vladimir Kluzner;Asaf Tzadok;Yuval Shimony;Eugene Walach;Apostolos Antonacopoulos

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
  • Year:
  • 2009

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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.