An efficient method of license plate location
Pattern Recognition Letters
An Efficient Features - Based License Plate Localization Method
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Automatic license plate recognition system based on color image processing
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
A License Plate-Recognition Algorithm for Intelligent Transportation System Applications
IEEE Transactions on Intelligent Transportation Systems
Automatic number plate detection for Korean vehicles
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
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In this paper we propose a method for detection of the car license plates in 2D gray images. In this method we first estimate the density of vertical edges in the image. The regions with high density vertical edges are good candidates for license plates. In order to filter out clutter regions possessing similar feature in the edge density image, we design a match filter which models the license plate pattern. By applying the proposed filter on the edge density image followed by a thresholding procedure, the locations of license plate candidates are detected. We finally extract the boundary of license plate(s) using the morphological operations. The result of experiments on car images (taken under different imaging conditions especially complex scenes) confirms the ability of the method for license plate detection. As the complexity of the proposed algorithm is low, it is considerably fast.