Learning-Based License Plate Detection in Vehicle Image Database

Publisher:
Inderscience
Publication Type:
Journal Article
Citation:
International Journal of Intelligent Information and Database Systems, 2007, 1 (2), pp. 228 - 243
Issue Date:
2007-01
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This paper proposes a learning-based algorithm to detect license plates of vehicles from vehicle image database. There are three main contributions in this paper. The first contribution is to define a novel vertical edge map, which makes the image processing more effectively. The second contribution is to propose a learning-based cascade classifier composing of two kinds of sub-classifiers, which makes the system very robust. The third contribution is to experimentally estimate the parameter of scaling factor and chose an optimal one for the algorithm to seek a good balance between detection rate and processing time.
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