The nature of statistical learning theory
The nature of statistical learning theory
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
A Real Time Vehicle's License Plate Recognition System
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Towards a Multinational Car License Plate Recognition System
Machine Vision and Applications
Efficient Maximally Stable Extremal Region (MSER) Tracking
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Learning-Based License Plate Detection Using Global and Local Features
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Number Plate Recognition Based on Support Vector Machines
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
A new class of learnable detectors for categorisation
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
High Performance Implementation of License Plate Recognition in Image Sequences
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Vision-based vehicle speed measurement method
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part I
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
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 head-mounted device for recognizing text in natural scenes
CBDAR'11 Proceedings of the 4th international conference on Camera-Based Document Analysis and Recognition
Data-driven vehicle identification by image matching
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Real-time automatic license plate recognition for CCTV forensic applications
Journal of Real-Time Image Processing
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This paper introduces a novel real-time framework which enables detection, tracking and recognition of license plates from video sequences. An efficient algorithm based on analysis of Maximally Stable Extremal Region (MSER) detection results allows localization of international license plates in single images without the need of any learning scheme. After a one-time detection of a plate it is robustly tracked through the sequence by applying a modified version of the MSER tracking framework which provides accurate localization results and additionally segmentations of the individual characters. Therefore, tracking and character segmentation is handled simultaneously. Finally, support vector machines are used to recognize the characters on the plate. An experimental evaluation shows the high accuracy and efficiency of the detection and tracking algorithm. Furthermore, promising results on a challenging data set are presented and the significant improvement of the recognition rate due to the robust tracking scheme is proved.