Digital Image Processing
Color Texture-Based Object Detection: An Application to License Plate Localization
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
An efficient implementation of the Hough transform for detecting vehicle license plates using DSP'S
RTAS '95 Proceedings of the Real-Time Technology and Applications Symposium
Robust License Plate Detection Using Covariance Descriptor in a Neural Network Framework
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
License plate localization based on a probabilistic model
Machine Vision and Applications
Car plate localization using modified PCNN in complicated environment
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Automatic license plate recognition
IEEE Transactions on Intelligent Transportation Systems
A License Plate-Recognition Algorithm for Intelligent Transportation System Applications
IEEE Transactions on Intelligent Transportation Systems
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This work presents a new method for license plate detection using neural networks in gray scale images. The method proposes a multiple classification strategy based on a Multilayer Perceptron. It consists of many classifications of one image using several shifted window grids. If a pixel belongs or not to the licence plate is determined by the most frequent answer given by the different classifications. The result becomes more precise by means of morphological operations and heuristic rules related to shape and size of the license plate zone. The whole method detects the license plates precisely with a low error rate under non-controlled environments.