An Introduction to Digital Image Processing
An Introduction to 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
A nearest-neighbor chain based approach to skew estimation in document images
Pattern Recognition Letters
A hybrid License Plate Extraction Method Based On Edge Statistics and Morphology
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
An efficient method of license plate location
Pattern Recognition Letters
Learning-Based License Plate Detection Using Global and Local Features
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
Automatic license plate recognition
IEEE Transactions on Intelligent Transportation Systems
License Plate Recognition From Still Images and Video Sequences: A Survey
IEEE Transactions on Intelligent Transportation Systems
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This paper proposes a novel method for license plate (LP) detection from images with complex background. First, it segments images with an adaptive binarization method to avoid the problem that nonuniform illumination creates, and some undesired image areas are removed by limiting the range of region properties of connected components (CCs). Secondly, CC analysis is used to construct nearest neighbor chain (NNC) for detection of candidate LP regions (LP-NNC). The average height and direction of each LP-NNC is estimated to deal with images acquired from different view or distances. Thirdly, length of NNC, edge density and color features are combined to verify all candidate LP regions, and the most possible region is selected as the true LP region. Experiment results on various types of LP images show that this proposed method has achieved desired detection result for complex scenes.