Non-uniform slant correction for handwritten text line recognition

Roman Bertolami, Seiichi Uchida, Matthias Zimmermann, Horst Bunke

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Citations (Scopus)

Abstract

In this paper we apply a novel non-uniform slant correction 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. Experiments based on a state-of-the-art handwritten text line recogniser show a significant gain in word level accuracy for the investigated preprocessing methods.

Original languageEnglish
Title of host publicationProceedings - 9th International Conference on Document Analysis and Recognition, ICDAR 2007
Pages18-22
Number of pages5
DOIs
Publication statusPublished - Dec 1 2007
Event9th International Conference on Document Analysis and Recognition, ICDAR 2007 - Curitiba, Brazil
Duration: Sep 23 2007Sep 26 2007

Publication series

NameProceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume1
ISSN (Print)1520-5363

Other

Other9th International Conference on Document Analysis and Recognition, ICDAR 2007
CountryBrazil
CityCuritiba
Period9/23/079/26/07

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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