A Simple and Efficient Method for Global Handwritten Word Recognition Applied to Brazilian Bankchecks

  • Authors:
  • Luan Ling Lee;Stela Isernhagen Coelho

  • Affiliations:
  • State University of Campinas;State University of Campinas

  • Venue:
  • ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
  • Year:
  • 2005

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Abstract

A simple and efficient method for the recognition of isolated handwritten words in Brazilian bankchecks is proposed. For this end, the global word recognition technique was adopted. It relies mainly on topological features to identify the shape of the digitized word images. A Genetic Algorithm (GA) was used to select those features that best represent each word class and the Nearest Neighbor Method was used as a classification means. The experimental results obtained in our laboratory present a higher average classification rate than a previous work that used the same database.