A knowledge-based segmentation system for handwritten dates on bankcheques

Qizhi XU, Suk Wah Louisa LAM, Ching Y. SUEN

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Segmenting handwritten date fields on bank cheque images into three subimages corresponding to the day, month and year is the first and critical step of our date recognition system. The paper describes a knowledge-based segmentation system, which introduces different kinds of knowledge at different segmentation stages to improve the performance. The knowledge includes information on the writing style, syntactic and semantic constraints, etc. Results have shown that the system is very effective compared with a previous structural feature based method. Copyright © 2001 IEEE.
Original languageEnglish
Title of host publicationProceedings of the Sixth International Conference on Document Analysis and Recognition, 2001
Place of PublicationSeattle
PublisherIEEE
Pages384-388
ISBN (Print)0769512631, 076951264X
Publication statusPublished - 2001

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Semantics

Citation

Xu, Q., Lam, L., & Suen, C. Y. (2001). A knowledge-based segmentation system for handwritten dates on bankcheques. In Proceedings of the Sixth International Conference on Document Analysis and Recognition, 2001 (pp. 384-388). Seattle: IEEE.

Keywords

  • Teacher Education
  • Development of Subject Knowledge
  • Mathematics