Vector quantization for license-plate location and image coding
Zunino, R.
Rovetta, S.
Dept. of Biophys. & Electron. Eng., Genoa Univ.;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: Feb 2000
Volume: 47,
Issue: 1
On page(s): 159-167
ISSN: 0278-0046
References Cited: 35
CODEN: ITIED6
INSPEC Accession Number: 6507844
Digital Object Identifier: 10.1109/41.824138
Current Version Published: 2002-08-06
Abstract
License-plate location in sensor images plays an important role in
vehicle identification for automated transport systems (ATS). This paper
presents a novel method based on vector quantization (VQ) to process
vehicle images. The proposed method makes it possible to perform
superior picture compression for archival purposes and to support
effective location at the same time. As compared with classical
approaches, VQ encoding can give some hints about the contents of image
regions; such additional information can be exploited to boost location
performance. The VQ system can be trained by way of examples; this gives
the advantages of adaptiveness and on-field tuning. The approach has
been tested in a real industrial application and included satisfactorily
in a complete ATS for vehicle identification
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