Real Time Search Free Multiple License Plate Recognition Via Likelihood Estimation of Saliency

Safaei, Amin, Tang, Hongying and Sanei, Saeid (2016) Real Time Search Free Multiple License Plate Recognition Via Likelihood Estimation of Saliency Computers and Electrical Engineering, 56. pp. 15-29.

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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:	Article
Subjects :	Computing
Divisions :	Faculty of Engineering and Physical Sciences > Computing Science
Authors :	Name Email ORCID Safaei, Amin a.safaei@surrey.ac.uk Tang, Hongying H.Tang@surrey.ac.uk Sanei, Saeid S.Sanei@surrey.ac.uk
Date :	November 2016
DOI :	10.1016/j.compeleceng.2016.09.010
Copyright Disclaimer :	© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Depositing User :	Symplectic Elements
Date Deposited :	03 Oct 2016 11:11
Last Modified :	16 Jan 2019 17:08
URI:	http://epubs.surrey.ac.uk/id/eprint/812323

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