License plate recognition using SKIPSM

Malayappan Shridhar; Frederick M. Waltz; John W. V. Miller; G. Houle; L. Bijnagte; Ryan A. Dibble

doi:10.1117/12.417184

12 February 2001 License plate recognition using SKIPSM

Malayappan Shridhar, Frederick M. Waltz, John W. V. Miller, G. Houle, L. Bijnagte, Ryan A. Dibble

Proceedings Volume 4189, Machine Vision and Three-Dimensional Imaging Systems for Inspection and Metrology; (2001) https://doi.org/10.1117/12.417184
Event: Intelligent Systems and Smart Manufacturing, 2000, Boston, MA, United States

Abstract

Recognition of license plate images is the topic of this paper. The major issue in this problem is the accurate extraction of the license plate character string from varying backgrounds using processing techniques that are reasonably fast. The images are also characterized by non-uniform illumination. Recognition of the string is relatively straightforward, if the extraction process has been correctly designed. The authors present three different approaches to extraction and their study revealed that the combination of gray-scale morphology with a log gray-scale transform provided accurate extraction of the string. Recognition studies with 700 images captured during day and night periods indicated an overall acceptance rate of nearly 90% with .7% confusion.

Citation Download Citation

Malayappan Shridhar, Frederick M. Waltz, John W. V. Miller, G. Houle, L. Bijnagte, and Ryan A. Dibble "License plate recognition using SKIPSM", Proc. SPIE 4189, Machine Vision and Three-Dimensional Imaging Systems for Inspection and Metrology, (12 February 2001); https://doi.org/10.1117/12.417184

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