Color Texture-Based Object Detection: An Application to License Plate Localization
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Multiple License Plate Detection for Complex Background
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 2
Locating Text in Images using Matched Wavelets
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
An efficient method of license plate location
Pattern Recognition Letters
Research on Vehicle License Plate Location Based on Neural Networks
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 3
An Efficient Features - Based License Plate Localization Method
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Automatic license plate recognition system based on color image processing
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV
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
An automated vision system for container-code recognition
Expert Systems with Applications: An International Journal
Real time object detection using a novel adaptive color thresholding method
Ubi-MUI '11 Proceedings of the 2011 international ACM workshop on Ubiquitous meta user interfaces
An integrated framework for biometrics security
iUBICOM'10 Proceedings of the 5th international conference on Ubiquitous and Collaborative Computing
A novel smart multi-license plate recognition method
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
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In this paper, the problem of license plate detection is considered. Low quality images due to severe illumination conditions, vehicle motion, viewpoint and distance changes, complex background, etc. are some of popular problems which have to be considered. In order to alleviate these problems, two different image enhancement methods (using intensity variance and edge density) are proposed. The aim is to increase contrast of plate-like regions to avoid missing plate location especially in poor quality images. Furthermore, a novel match filter is designed to detect candidate regions as plate. This filter models the vertical edge density of plate region regarding its neighborhood. As the filtering procedure is simple, this approach can be used for real-time applications. In the proposed method, we also use colored texture in the plate as a cue for plate detection. This feature is preserved under viewpoint change. In order to characterize the color information in plate, the MNS (multimodal neighborhood signature) method is used. A well-organized database, consisting of car images with different known distances and viewing angels have been prepared to verify the performance of plate detection algorithm. This database can be used to establish a precise evaluation of the proposed method and any other related work. The results of experiments on different type of car images in complex scenes confirm the robustness of proposed method against severe imaging conditions.