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Postcode segmentation and recognition using projections and bispectral features

Tieu, L., Reilly, C., Chandran, V., & Sridharan, S. (1997) Postcode segmentation and recognition using projections and bispectral features. In Proceeding os the IEEE Region 10 Annual Conference on Speech and Image Technologies for Computing and Telecommunications (TENCON '97), IEEE, Brisbane, Australia, pp. 47-50.

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Abstract

A system to segment and recognize Australian 4-digit postcodes from address labels on parcels is described. Images of address labels are preprocessed and adaptively thresholded to reduce noise. Projections are used to segment the line and then the characters comprising the postcode. Individual digits are recognized using bispectral features extracted from their parallel beam projections. These features are insensitive to translation, scaling and rotation, and robust to noise. Results on scanned images are presented. The system is currently being improved and implemented to work on-line.

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ID Code: 45588
Item Type: Conference Paper
Keywords: image segmentation, Australian 4-digit postcodes, adaptive thresholding, address labels, bispectral features, feature extraction, noise reduction, postcode recognition, postcode segmentation, projections, rotation insensitive, scaling insensitive, scanned images, translation insensitive
DOI: 10.1109/TENCON.1997.647255
ISBN: 0780343654
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 1997 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 17 Oct 2011 12:28
Last Modified: 20 Oct 2011 11:28

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