Licence Plate Character Recognition Using Artificial Immune Technique
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
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
Automatic license plate detection and character extraction with adaptive threshold and projections
CSECS'08 Proceedings of the 7th conference on Circuits, systems, electronics, control and signal processing
Expert Systems with Applications: An International Journal
An edge-based color-aided method for license plate detection
Image and Vision Computing
License Plate Detection Using Neural Networks
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
An Efficient Method of Vehicle License Plate Detection Based on HSI Color Model and Histogram
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
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
License plate localization based on a probabilistic model
Machine Vision and Applications
A fast algorithm for license plate detection
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Vehicle license plate detection algorithm based on color space and geometrical properties
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Efficient Farsi license plate recognition
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Vehicle logo recognition using a SIFT-based enhanced matching scheme
IEEE Transactions on Intelligent Transportation Systems
Optimal use of plate-scanning resources for route flow estimation in traffic networks
IEEE Transactions on Intelligent Transportation Systems
Integrating RFID on event-based hemispheric imaging for internet of things assistive applications
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
Vehicle model recognition from frontal view image measurements
Computer Standards & Interfaces
Movement invariants-based algorithm for medical image tilt correction
International Journal of Automation and Computing
Matrix tools for general observability analysis in traffic networks
IEEE Transactions on Intelligent Transportation Systems
Evaluation of binarization algorithms for camera-based devices
MCPR'11 Proceedings of the Third Mexican conference on Pattern recognition
An automated vision system for container-code recognition
Expert Systems with Applications: An International Journal
Multimedia Tools and Applications
Building a license plate recognition system for Vietnam tollbooth
Proceedings of the Third Symposium on Information and Communication Technology
Block operator context scanning for commercial tracking
SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
PPCA-based license plate detection algorithm
ACM SIGSOFT Software Engineering Notes
A vehicle license plate detection method using region and edge based methods
Computers and Electrical Engineering
Expert Systems with Applications: An International Journal
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In this paper, a new algorithm for vehicle license plate identification is proposed, on the basis of a novel adaptive image segmentation technique (sliding concentric windows) and connected component analysis in conjunction with a character recognition neural network. The algorithm was tested with 1334 natural-scene gray-level vehicle images of different backgrounds and ambient illumination. The camera focused in the plate, while the angle of view and the distance from the vehicle varied according to the experimental setup. The license plates properly segmented were 1287 over 1334 input images (96.5%). The optical character recognition system is a two-layer probabilistic neural network (PNN) with topology 108-180-36, whose performance for entire plate recognition reached 89.1%. The PNN is trained to identify alphanumeric characters from car license plates based on data obtained from algorithmic image processing. Combining the above two rates, the overall rate of success for the license-plate-recognition algorithm is 86.0%. A review in the related literature presented in this paper reveals that better performance (90% up to 95%) has been reported, when limitations in distance, angle of view, illumination conditions are set, and background complexity is low