This paper presents a region-based algorithm for accurate license plate localization, where mean shift is utilized to filter and segment color vehicle images into candidate regions. Three features are extracted in order to decide whether a candidate region represents a real license plate, namely, rectangularity, aspect ratio, and edge density. Then, the Mahalanobis classifier is used with respect to above three features to classify license plate regions and non-license plate regions. Experimental results show that the proposed algorithm produces high robustness and accuracy.
Mean shift for accurate license plate localization
2005-01-01
385588 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Mean Shift for Accurate License Plate Localization
British Library Conference Proceedings | 2005
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