Character extraction of license plates from video
Cui, Y.-T.
Huang, Q.
Siemens Corp. Res. Inc., Princeton, NJ;
This paper appears in: Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
Publication Date: 17-19 Jun 1997
On page(s): 502-507
Meeting Date: 06/17/1997 - 06/19/1997
Location: San Juan, Puerto Rico
ISBN: 0-8186-7822-4
References Cited: 15
INSPEC Accession Number: 5644204
Digital Object Identifier: 10.1109/CVPR.1997.609372
Current Version Published: 2002-08-06
Abstract
In this paper, we present a new approach to extract characters on
a license plate of a moving vehicle given a sequence of perspective
distortion corrected license plate images. We model the extraction of
characters as a Markov random field (MRF). With the MRF modeling, the
extraction of characters is formulated as the problem of maximizing the
a posteriori probability based on given prior and observations. A
genetic algorithm with local greedy mutation operator is employed to
optimize the objective function. Experiments and comparison study were
conducted. It is shown that our approach provides better performance
than other single frame methods
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