A knowledge-based segmentation system for handwritten dates on bank cheques

Author

Xu, Qizhi ; Lam, Louisa ; Suen, Ching Y.

Author_Institution

Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

384

Lastpage

388

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

Keywords

bank data processing; cheque processing; handwritten character recognition; image segmentation; knowledge based systems; bank cheque images; date recognition system; handwritten date field segmentation; knowledge-based segmentation system; segmentation stages; semantic constraints; subimages; syntactic constraints; writing style; Data mining; Handwriting recognition; Image recognition; Image segmentation; Law; Legal factors; Machine intelligence; Mathematics; Noise figure; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on

Conference_Location

Seattle, WA

Print_ISBN

0-7695-1263-1

Type

conf

DOI

10.1109/ICDAR.2001.953818

Filename

953818