Detection of the characters from the license plates by cascade classifiers method
L Barba-Guamán… - 2016 Future …, 2016 - ieeexplore.ieee.org
2016 Future Technologies Conference (FTC), 2016•ieeexplore.ieee.org
This article describes the detection of the characters of the license plate through of computer
vision techniques: such as cascade of classifiers based in sobel algorithm, analysis of peaks
and valleys, and support vector machines; the search for the region of the plate begins by
detecting vehicles, then character segmentation and concludes with the recognition of these.
The system was tested in different scenarios such as: different lighting provided by the day
or night and weather changes. The average time to execute these phases it was 434 ms.
vision techniques: such as cascade of classifiers based in sobel algorithm, analysis of peaks
and valleys, and support vector machines; the search for the region of the plate begins by
detecting vehicles, then character segmentation and concludes with the recognition of these.
The system was tested in different scenarios such as: different lighting provided by the day
or night and weather changes. The average time to execute these phases it was 434 ms.
This article describes the detection of the characters of the license plate through of computer vision techniques: such as cascade of classifiers based in sobel algorithm, analysis of peaks and valleys, and support vector machines; the search for the region of the plate begins by detecting vehicles, then character segmentation and concludes with the recognition of these. The system was tested in different scenarios such as: different lighting provided by the day or night and weather changes. The average time to execute these phases it was 434 ms.
ieeexplore.ieee.org
以上显示的是最相近的搜索结果。 查看全部搜索结果