A Spatial Thresholding Method for Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Analysis of the increase and decrease algorithms for congestion avoidance in computer networks
Computer Networks and ISDN Systems
Extracting characters of license plates from video sequences
Machine Vision and Applications
SIGGRAPH '79 Proceedings of the 6th annual conference on Computer graphics and interactive techniques
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
Robust Real-Time Face Detection
International Journal of Computer Vision
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
A Coarse-to-Fine Strategy for Multiclass Shape Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
A new general framework for shot boundary detection and key-frame extraction
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
An efficient method of license plate location
Pattern Recognition Letters
A Neural Network Architecture for Visual Selection
Neural Computation
Towards a Multinational Car License Plate Recognition System
Machine Vision and Applications
Learning-Based License Plate Detection Using Global and Local Features
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
An Efficient Features - Based License Plate Localization Method
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Intelligent traffic management through MPEG-7 vehicle flow surveillance
JVA '06 Proceedings of the IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing
Robust License Plate Detection Using Covariance Descriptor in a Neural Network Framework
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
A multi-expert approach for robust face detection
Pattern Recognition
Face detection with boosted Gaussian features
Pattern Recognition
A configurable method for multi-style license plate recognition
Pattern Recognition
e-PCP: A robust skew detection method for scanned document images
Pattern Recognition
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
A Cascade Framework for a Real-Time Statistical Plate Recognition System
IEEE Transactions on Information Forensics and Security
Automatic license plate recognition
IEEE Transactions on Intelligent Transportation Systems
A License Plate-Recognition Algorithm for Intelligent Transportation System Applications
IEEE Transactions on Intelligent Transportation Systems
Superresolution of License Plates in Real Traffic Videos
IEEE Transactions on Intelligent Transportation Systems
License Plate Recognition From Still Images and Video Sequences: A Survey
IEEE Transactions on Intelligent Transportation Systems
A generalized learning paradigm exploiting the structure of feedforward neural networks
IEEE Transactions on Neural Networks
Convergence analysis of canonical genetic algorithms
IEEE Transactions on Neural Networks
Block operator context scanning for commercial tracking
SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
T-HOG: An effective gradient-based descriptor for single line text regions
Pattern Recognition
An algorithm for accuracy enhancement of license plate recognition
Journal of Computer and System Sciences
A novel smart multi-license plate recognition method
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
Hi-index | 0.01 |
Introducing high definition videos and images in object recognition has provided new possibilities in the field of intelligent image processing and pattern recognition. However, due to the large amount of information that needs to be processed, the computational costs are high, making the HD systems slow. To this end, a novel algorithm applied to sliding window analysis, namely Operator Context Scanning (OCS), is proposed and tested on the license plate detection module of a License Plate Recognition (LPR) system. In the LPR system, the OCS algorithm is applied on the Sliding Concentric Windows pixel operator and has been found to improve the LPR system's performance in terms of speed by rapidly scanning input images focusing only on regions of interest, while at the same time it does not reduce the system effectiveness. Additionally, a novel characteristic is presented, namely, the context of the image based on a sliding windows operator. This characteristic helps to quickly categorize the environmental conditions upon which the input image was taken. The algorithm is tested on a data set that includes images of various resolutions, acquired under a variety of environmental conditions.