The nature of statistical learning theory
The nature of statistical learning theory
Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Learning for View-Based Human Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Extracting characters of license plates from video sequences
Machine Vision and Applications
Making large-scale support vector machine learning practical
Advances in kernel methods
Segmentation of Color Textures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Support Vector Machines for Texture Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Training Support Vector Machines: an Application to Face Detection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Real Time Face and Object Tracking as a Component of a Perceptual User Interface
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
Comparing support vector machines with Gaussian kernels to radialbasis function classifiers
IEEE Transactions on Signal Processing
Automatic text detection and tracking in digital video
IEEE Transactions on Image Processing
Digit Classification on Signboards for Telephone Number Recognition
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Region-based license plate detection
Journal of Network and Computer Applications
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
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
A License Plate Extraction Algorithm Based on Edge Statistics and Region Growing
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
A hybrid method for robust car plate character recognition
Engineering Applications of Artificial Intelligence
Automatic license plate detection based on edge density and color model
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
An efficient method based on orientation field for detection of license plates
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
License plate detection algorithm based on gentle AdaBoost algorithm with a cascade structure
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
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
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This paper presents a novel color texture-based method for object detection in images. To demonstrate our technique, a vehicle license plate (LP) localization system is developed. A support vector machine (SVM) is used to analyze the color textural properties of LPs. No external feature extraction module is used, rather the color values of the raw pixels that make up the color textural pattern are fed directly to the SVM, which works well even in high-dimensional spaces. Next, LP regions are identified by applying a continuously adaptive meanshift algorithm (CAMShift) to the results of the color texture analysis. The combination of CAMShift and SVMs produces not only robust and but also efficient LP detection as time-consuming color texture analyses for less relevant pixels are restricted, leaving only a small part of the input image to be analyzed.