Segmentation of Date Field on Bank Cheques
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.
KeywordsWord Form Text Line Handwriting Recognition Segmentation Point Date Zone
- 1.E. Cohen, J.J. Hull, and S. N. Srihari. Control structure for interpreting handwritten addresses. IEEE Trans. Pattern Analysis and Machine Intelligence, 16(10):1049–1055, Oct 1994.Google Scholar
- 2.R. Fan, L. Lam, and C. Y. Suen. Processing of date information on cheques. Progress in Handwriting Recognition, pages 473–479, eds. A. C. Downton and C. Impedovo, World Scientific, 1997.Google Scholar
- 4.G.F. Houle, D.B. Aragon, R.W. Smith, M. Shridhar, and D. Kimura. A multilayered corroboration-based check reader. In Proc. IAPR Workshop on Document Analysis Systems, pages 495–546, Malvern, Penn. USA, Oct. 1996.Google Scholar
- 5.U. Mahadevan and R. C. Nagabushnam. Gap metrics for word separation in handwritten lines. In Proc. of Third Int. Conf. on Document Analysis and Recognition, pages 124–127, Montréal, Canada, Aug. 1995.Google Scholar
- 7.N. W. Strathy. Handwriting recognition for cheque processing. In Proc. 2nd Int. Conf. on Multimodal Interface, pages III–47–50, Hong Kong, Jan. 1999.Google Scholar