Systematic Methods for the Computation of the Directional Fields and Singular Points of Fingerprints
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
A Robust License-Plate Extraction Method under Complex Image Conditions
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
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
Region-based license plate detection
Journal of Network and Computer Applications
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License plate area contains rich texture and edge information. In our method, the car image first is divided into set of 5×5 non-overlapping black and a local orientation is defined for each black. The M×N car image is converted to an orientation image and a vertical edges image of size (M×N)/25. It reduces much processing time. The orientation and the vertical edges of black are calculated using Sobel operator. We remove most of the background and noise regions in the orientation and vertical edges image by an effective algorithm and segment the plate out from the original car image. Experimental results demonstrate the great robustness and efficiency of our method.