Brazilian license plate detection using histogram of oriented gradients and sliding windows.
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Date
2013
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Abstract
Due to the increasingly need for automatic traffic monitoring, vehicle license plate detection is of high
interest to perform automatic toll collection, traffic law enforcement, parking lot access control, among
others. In this paper, a sliding window approach based on Histogram of Oriented Gradients (HOG)
features is used for Brazilian license plate detection. This approach consists in scanning the whole image
in a multiscale fashion such that the license plate is located precisely. The main contribution of this work
consists in a deep study of the best setup for HOG descriptors on the detection of Brazilian license plates,
in which HOG have never been applied before. We also demonstrate the reliability of this method ensured
by a recall higher than 98% (with a precision higher than 78%) in a publicly available data set.
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Keywords
Histogram of oriented gradients, Multiscale sliding window, Vehicle license plate detection
Citation
PRATES, R. F. de C. et al. Brazilian license plate detection using histogram of oriented gradients and sliding windows. International Journal of Computer Science and Information Technology, v. 5, n. 6, p. 39-52, dez. 2013. Disponível em: <http://airccse.org/journal/jcsit/5613ijcsit03.pdf>. Acesso em: 17 fev. 2017.