Title :
Postcode segmentation and recognition using projections and bispectral features
Author :
Tieu, L. ; Reilly, C. ; Chandran, V. ; Sridharan, S.
Author_Institution :
Queensland Univ. of Technol., Brisbane, Qld., Australia
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.
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; Australia; Degradation; Feature extraction; Histograms; Image segmentation; Noise reduction; Noise robustness; Pixel; Research and development; Signal processing;
Conference_Titel :
TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
Conference_Location :
Brisbane, Qld., Australia
Print_ISBN :
0-7803-4365-4
DOI :
10.1109/TENCON.1997.647255
