Multiple vehicles license plate tracking and recognition via isotropic dilation

Lorita Angeline, and Wei , Leong Khong and Farrah Wong, and Ismail Saad, and Tze , Kenneth,Kin Teo (2011) Multiple vehicles license plate tracking and recognition via isotropic dilation. In: Computational Intelligence, Communication Systems and Networks (CICSyN), 2011 Third International Conference, 26-28 July 2011.

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Official URL: Http://dx.doi.org/10.7763/JACN.2014.V2.10610.1109/...

Abstract

In this paper, a new algorithm for Automatic License Plate Localisation and Recognition (ALPR) is proposed on the basis of isotropic dilation that can be achieved using the binary image Euclidean distance transform. In a blob analysis problem, any two Region of Interest (RoIs) that is discontinuous are typically treated as separate blobs. However, the proposed algorithm combine with Connected Component Analysis (CCA) are coded to seek for RoI within a certain distance of other RoI to be treated as non-unique. This paper investigates the design and implementation of several pre-processing techniques and isotropic dilation algorithm to classify moving vehicles with different backgrounds and varying angles. A multi-layer feed-forward back-propagation Neural Network is used to train the segmented and refined characters. The results obtained can be used for implementation in the vehicle parking management system.

Item Type:Conference Paper (UNSPECIFIED)
Uncontrolled Keywords:INSPEC: Controlled Indexing transforms, backpropagation, geometry, image segmentation, multilayer perceptrons, object recognition, object tracking, traffic engineering computing
Subjects:Q Science > QA Mathematics
Divisions:FACULTY > Faculty of Engineering
ID Code:14996
Deposited By:IR Admin
Deposited On:22 Nov 2016 15:41
Last Modified:22 Nov 2016 15:41

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