An edge-based color-aided method for license plate detection
Image and Vision Computing
Robust Car License Plate Localization Using a Novel Texture Descriptor
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
A fast algorithm for license plate detection
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Numberplate detection using double segmentation
SAICSIT '10 Proceedings of the 2010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists
An automated vision system for container-code recognition
Expert Systems with Applications: An International Journal
Detection of vehicle manufacture logos using contextual information
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
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This paper presents a feature-based license plate localization algorithm that copes with multi-object problem in different image capturing conditions. The proposed algorithm is robust against illumination, shadow, scale, rotation, and weather condition. It extracts license plate candidates using edge statistics and morphological operations and removes the incorrect candidates according to the determined features of license plates. We have formed a rather complete database of 269 images in different conditions. The proposed algorithm successfully detecteds the accurate location of the license plates in 96.5% cases, which outperforms the other available approaches in the literature.