Real-time search-free multiple license plate recognition via likelihood estimation of saliency

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Safaei, A. ORCID: 0000-0003-4696-8968, Tang, H.L. and Sanei, S. ORCID: 0000-0002-3437-2801, 2016. Real-time search-free multiple license plate recognition via likelihood estimation of saliency. Computers and Electrical Engineering: an International Journal, 56, pp. 15-29. ISSN 0045-7906

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Official URL: http://doi.org/10.1016/j.compeleceng.2016.09.010

Abstract

In this paper, we propose a novel search-free localization method based on 3-D Bayesian saliency estimation. This method uses a new 3-D object tracking algorithm which includes: object detection, shadow detection and removal, and object recognition based on Bayesian methods. The algorithm is tested over three image datasets with different levels of complexities, and the results are compared with those of benchmark methods in terms of speed and accuracy. Unlike most search-based license-plate extraction methods, our proposed 3-D Bayesian saliency algorithm has lower execution time (less than 60 ms), more accuracy, and it is a search-free algorithm which works in noisy backgrounds.

Item Type:

Journal article

Publication Title:

Computers and Electrical Engineering: an International Journal

Creators:

Safaei, A., Tang, H.L. and Sanei, S.

Publisher:

Elsevier Ltd.

Date:

November 2016

Volume:

ISSN: