Color Texture-Based Object Detection: An Application to License Plate Localization

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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.
Publisher
Springer Verlag (Germany)
Issue Date
2002
Citation

Lecture Notes in Computer Science, Vol.2388, pp.321-335

ISSN
0302-9743
DOI
10.1007/3-540-45665-1_23
URI
http://hdl.handle.net/10203/10433
Appears in Collection
CS-Conference Papers(학술회의논문)

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