The Speed Limit Road Signs Recognition Using Hough Transformation and Multi-Class Svm (CROSBI ID 679775)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Matoš, Ivona ; Krpić, Zdravko ; Romić, Krešimir
engleski
The Speed Limit Road Signs Recognition Using Hough Transformation and Multi-Class Svm
In this paper, a method for the speed limit traffic sign recognition is proposed. The method is based on Support Vector Machines, which is one of the most efficient algorithms used for traffic sign recognition. It comprises three phases. In the preprocessing phase, RGB images are converted into HSL images in order to increase the contrast. In the detection phase, Hough Transformation is used for detecting the speed limit signs along with Gauss and Median filters for removing the noise from the detected images. The detection phase achieves accuracy of 95.3%. In the classification phase, a Histogram of Oriented Gradients descriptor for feature extraction is used together with Support Vector Machines for image classification and speed limit sign recognition. The proposed method was used on the two databases - GTSRB, German Traffic Sign Recognition Benchmark and rMASTIF, Croatian traffic sign database. The recognition accuracy of 93.75% is achieved. The presented method proves to be applicable in advancing driving assistance systems due to its detection and recognition accuracy as well as its performance, thus making it appropriate for real-time applications.
speed limit traffic signs recognition, Hough Transformation, Histogram of Oriented Gradients, Support Vector Machines
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Podaci o prilogu
89-94.
2019.
objavljeno
10.1109/iwssip.2019.8787249
Podaci o matičnoj publikaciji
PROCEEDINGS OF IWSSIP 2019
Žagar, Drago ; Rimac-Drlje, Snježana ; Martinović, Goran ; Galić, Irena ; Vranješ, Denis ; Habijan, Marija
Osijek: Institute of Electrical and Electronics Engineers (IEEE)
978-1-7281-3227-3
2157-8672
2157-8702
Podaci o skupu
26th International Conference on Systems, Signals and Image Processing (IWSSIP 2019)
predavanje
05.06.2019-07.06.2019
Osijek, Hrvatska