Non-Uniform Slant Correction for Handwritten Text Line Recognition

  • Authors:
  • R. Bertolami;S. Uchida;M. Zimmermann;H. Bunke

  • Affiliations:
  • University of Bern, Switzerland;Kyushu University, Fukuoka-shi, Japan;University of Bern, Switzerland;University of Bern, Switzerland

  • Venue:
  • ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
  • Year:
  • 2007

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Abstract

In this paper we apply a novel non-uniform slant correc- tion preprocessing technique to improve the recognition of offline handwritten text lines. The local slant correction is expressed as a global optimisation problem of the sequence of local slant angles. This is different to conventional slant removal techniques that rely on the average slant angle. Ex- periments based on a state-of-the-art handwritten text line recogniser show a significant gain in word level accuracy for the investigated preprocessing methods.