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Computer Science > Computer Vision and Pattern Recognition

arXiv:1401.1990 (cs)
[Submitted on 9 Jan 2014]

Title:Brazilian License Plate Detection Using Histogram of Oriented Gradients and Sliding Windows

Authors:R. F. Prates, G. Cámara-Chávez, William R. Schwartz, D. Menotti
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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.
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:1401.1990 [cs.CV]
  (or arXiv:1401.1990v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.1401.1990
Journal reference: International Journal of Computer Science & Information Technology (IJCSIT) Vol 5, No 6, pp. 39-52, December 2013
Related DOI: https://doi.org/10.5121/ijcsit.2013.5603

Submission history

From: David Menotti [view email]
[v1] Thu, 9 Jan 2014 13:01:52 UTC (958 KB)
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DBLP - CS Bibliography

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R. F. Prates
Raphael Felipe de Carvalho Prates
G. Cámara-Chávez
Guillermo Cámara Chávez
William Robson Schwartz
…
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