Multiple vehicles' license plate tracking and recognition via isotropic dilation

Lorita Angeline, Wei Leong Khong, Farrah Wong, Ismail Saad, Kenneth Tze Kin Teo

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

10 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2011
Number of pages6
Publication statusPublished - 2011
Externally publishedYes
EventInternational Conference on Computational Intelligence, Communication Systems and Networks (CICSyN) 2011 - Bali, Indonesia
Duration: 26 Jul 201128 Jul 2011
Conference number: 3rd (Proceedings)


ConferenceInternational Conference on Computational Intelligence, Communication Systems and Networks (CICSyN) 2011
Abbreviated titleCICSyN 2011
Internet address


  • Blob analysis
  • Connected component analysis
  • Euclidean distance transform
  • Image processing
  • Isotropic dilation
  • License plate localisation
  • Overlapping bounding boxes

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