Lorita Angeline and Khong, Wei Leong and Farrah Wong and Ismail Saad and Teo, Kenneth Tze Kin (2011) Multiple vehicles' license plate tracking and recognition via isotropic dilation. In: 3rd International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN 2011), 26-28 July 2011, Bali, Indonesia.
Full text not available from this repository.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 preprocessing 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 or Workshop Item (UNSPECIFIED) |
|---|---|
| Keyword: | Isotropic dilation, Euclidean distance transform, License plate localisation, Blob analysis, Overlapping bounding boxes, Connected component analysis, Image processing |
| Subjects: | Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75-76.95 Calculating machines T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK7800-8360 Electronics |
| Department: | SCHOOL > School of Engineering and Information Technology |
| Depositing User: | ADMIN ADMIN |
| Date Deposited: | 16 Jul 2012 15:31 |
| Last Modified: | 30 Dec 2014 09:42 |
| URI: | https://eprints.ums.edu.my/id/eprint/4562 |
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