Automatic Segmentation and Recognition System for Handwritten Dates on Canadian Bank Cheques

  • Authors:
  • Qizhi Xu;Louisa Lam;Ching Y. Suen

  • Affiliations:
  • -;-;-

  • Venue:
  • ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper describes a system being developed to recognizedate information handwritten on Canadian bankcheques. A segmentation based strategy is adopted in thissystem. In order to achieve high performances in terms ofefficiency and reliability, a knowledge-based module is proposedfor the date segmentation and a cursive month wordrecognition module is implemented based on a combinationof classifiers. The interaction between the segmentation andrecognition stages is properly established by using multi-hypothesesgeneration and evaluation modules. As a result,promising performance is obtained on a test set from a real-lifestandard cheque database.