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Efficient Two-Step Approach for Automatic Number Plate Detection

Efficient Two-Step Approach for Automatic Number Plate Detection Abstract intelligent transportation systems are rapidly growing mainly due to active development of novel hardware and software solutions. In the paper a problem of automatical number plate detection is considered. An efficient two-step approach based on plate candidates extraction with further classification by neural network is proposed. Stroke width transform and contours detection techniques are utilized for the image preprocessing and extraction of regions of interest. Different local feature sets are used for the final number plate detection step. Efficiency of the developed method is tested with real datasets. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Electronics and Telecommunications de Gruyter

Efficient Two-Step Approach for Automatic Number Plate Detection

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Publisher
de Gruyter
Copyright
Copyright © 2015 by the
ISSN
2300-1933
eISSN
2300-1933
DOI
10.1515/eletel-2015-0046
Publisher site
See Article on Publisher Site

Abstract

Abstract intelligent transportation systems are rapidly growing mainly due to active development of novel hardware and software solutions. In the paper a problem of automatical number plate detection is considered. An efficient two-step approach based on plate candidates extraction with further classification by neural network is proposed. Stroke width transform and contours detection techniques are utilized for the image preprocessing and extraction of regions of interest. Different local feature sets are used for the final number plate detection step. Efficiency of the developed method is tested with real datasets.

Journal

International Journal of Electronics and Telecommunicationsde Gruyter

Published: Dec 1, 2015

References