Object recognition and segmentation in videos by connecting heterogeneous visual features
Computer Vision and Image Understanding
A configurable method for multi-style license plate recognition
Pattern Recognition
Extracting Auto-Correlation Feature for License Plate Detection Based on AdaBoost
IDEAL '08 Proceedings of the 9th International Conference on Intelligent Data Engineering and Automated Learning
Fast License Plate Localization Using Discrete Wavelet Transform
ICA3PP '09 Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing
Automatic license plate detection based on edge density and color model
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Detecting, tracking and recognizing license plates
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Learning-based license plate detection in vehicle image database
International Journal of Intelligent Information and Database Systems
2D staircase detection using real adaboost
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
License plate detection algorithm based on gentle AdaBoost algorithm with a cascade structure
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Expert Systems with Applications: An International Journal
Multiple clues for license plate detection and recognition
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
More on weak feature: self-correlate histogram distances
PSIVT'11 Proceedings of the 5th Pacific Rim conference on Advances in Image and Video Technology - Volume Part I
Multi-scale convolutional neural networks for natural scene license plate detection
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
An algorithm for accuracy enhancement of license plate recognition
Journal of Computer and System Sciences
Ensemble haar and MB-LBP features for license plate detection
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
A vehicle license plate detection method using region and edge based methods
Computers and Electrical Engineering
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This paper proposes a license plate detection algorithm using both global statistical features and local Haar-like features. Classifiers using global statistical features are constructed firstly through simple learning procedures. Using these classifiers, more than 70% of background area can be excluded from further training or detecting. Then the AdaBoost learning algorithm is used to build up the other classifiers based on selected local Haar-like features. Combining the classifiers using the global features and the local features, we obtain a cascade classifier. The classifiers based on global features decrease the complexity of the system. They are followed by the classifiers based on local Haar-like features, which makes the final classifier invariant to the brightness, color, size and position of license plates. The encouraging detection rate is achieved in the experiments.