Matrics, a Car License Plate Recognition System
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Real-Time Car License Plate Recognition Improvement Based on Spatiognitron Neural Network
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
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
Detecting, tracking and recognizing license plates
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Vision-based vehicle speed measurement method
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
Display text segmentation after learning best-fitted OCR binarization parameters
Expert Systems with Applications: An International Journal
A multi-style license plate recognition system based on tree of shapes for character segmentation
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
A vehicle license plate detection method using region and edge based methods
Computers and Electrical Engineering
Real-time automatic license plate recognition for CCTV forensic applications
Journal of Real-Time Image Processing
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A full-fledged image-based car license plate recognition (CLPR) system is described in the paper. CLPR provides an inexpensive automatic solution for remote vehicle identification. Gray-level input images are assumed. The localization stage of the CLPR yields a plate clip followed by character segmentation and recognition. The recognition scheme combines adaptive iterative thresholding with a template-matching algorithm. The method is invariant to illumination and is robust to character size and thickness, skew and small character breaks. Promising results have been obtained in the experiments with Israeli and Bulgarian license plates including images of poor quality. Also, the possibility of using an “off-the-shelf” OCR has been explored.