<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Segmentation and feature extraction contributes to improved accuracy in traffic sign detection. As traffic signs are often located in complex environments, it is essential to develop feature extraction based on shapes. The Haar–PHOG feature is a development of both HOG and PHOG based on Canny edge detection. One of its advantages is that PHOG feature conducts calculation in four different frequencies of LL, HL, LH, and HH. Results from experiments on four roads in Central Java and Yogyakarta using SVM classification show that the use of the Haar–PHOG feature provides a better result than the use of HOG and PHOG.</p>
</abstract>

Segmentation and feature extraction contributes to improved accuracy in traffic sign detection. As traffic signs are often located in complex environments, it is essential to develop feature extraction based on shapes. The Haar–PHOG feature is a development of both HOG and PHOG based on Canny edge detection. One of its advantages is that PHOG feature conducts calculation in four different frequencies of LL, HL, LH, and HH. Results from experiments on four roads in Central Java and Yogyakarta using SVM classification show that the use of the Haar–PHOG feature provides a better result than the use of HOG and PHOG.

Indonesian traffic sign detection based on Haar-PHOG features and SVM classification

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

running-head

Segmentation and feature extraction contributes to improved accuracy in traffic sign detection. As traffic signs are often located in complex environments, it...

Indonesian traffic sign detection based on Haar-PHOG features and SVM classification

Article Category: Research-Article

Publicado en línea: 05 oct 2020

Páginas: 1 - 15

Recibido: 03 jun 2020

DOI: https://doi.org/10.21307/ijssis-2020-026

Palabras clave
Haar–PHOG, HOG, PHOG, SVM, Traffic signs

© 2020 Aris Sugiharto et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Indonesian traffic sign detection based on Haar-PHOG features and SVM classification

Article Category: Research-Article

Publicado en línea: 05 oct 2020

Páginas: 1 - 15

Recibido: 03 jun 2020

DOI: https://doi.org/10.21307/ijssis-2020-026

Palabras claveHaar–PHOG, HOG, PHOG, SVM, Traffic signs

© 2020 Aris Sugiharto et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Palabras clave
Haar–PHOG, HOG, PHOG, SVM, Traffic signs