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Segmentation of Date Field on Bank Cheques

  • Louisa Lam
  • Rong Fan
  • Qizhi Xu
  • Ching Y. Suen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1876)

Abstract

This article describes a system being developed to segment handwritten date fields on bank cheque images. The handwritten information extracted from the date zone is segmented into day, month and year, and a hypothesis is also made on the writing style of the month (in word or digits). The system has been implemented and tested on cheque images. Subsequent modifications have also been designed and implemented to include contextual information in the determination of segmentation points. Results have shown that the system is effective; with continuing improvements, the system is expected to be a useful component for processing the date written on cheques.

Keywords

Word Form Text Line Handwriting Recognition Segmentation Point Date Zone 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Louisa Lam
    • 1
    • 2
  • Rong Fan
    • 1
  • Qizhi Xu
    • 1
  • Ching Y. Suen
    • 1
  1. 1.Centre for Pattern Recognition and Machine Intelligence Suite GM-606Concordia UniversityMontréalCanada
  2. 2.Department of MathematicsHong Kong Institute of EducationTai PoHong Kong

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