ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
A configurable method for multi-style license plate recognition
Pattern Recognition
Expert Systems with Applications: An International Journal
An edge-based color-aided method for license plate detection
Image and Vision Computing
Fast License Plate Localization Using Discrete Wavelet Transform
ICA3PP '09 Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing
License plate localization based on a probabilistic model
Machine Vision and Applications
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
Moving license plate segmentation by region and corner-based approach
International Journal of Innovative Computing and Applications
| Hi-index | 0.00 |
This paper presents a wavelet transform based method for extracting license plates from cluttered images. The proposed system consists of three major stages. First, wavelet transform based method is used for extracting important contrast features as guides to search for desired license plates. Then, finding a reference line in HL subimage plays an important role to locate the desired license plate region roughly. According to the reference line we can decrease the searching region of license plate and speed up the execution time. The last stage of the method to locate the license plate accurately by license plate adjustment. More importantly, the proposed detection method can locate multiple plates with different orientations in one image. Since the feature extracted robust to complex backgrounds, the proposed method works well in extracting differently illuminated and oriented license plates. The average accuracy of detection is 92.4%.