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

<p>This paper presents a technique to classify the circular traffic sign based-on HOG (histogram of oriented gradients) and a ring partitioned matching. The method divides an image into several ring areas, and calculates the HOG feature on each ring area. In the matching process, the weight is assigned to each ring for calculating the distance of HOG feature between tested image and reference image. The experimental results show that the proposed algorithm achieves a high classification rate of 97.8%, without the need of many prepared sample images. The results also show that the best values of the number of orientation bins and the cell size of the HOG parameters are 5 and 10 x 10 pixels respectively.</p>
</abstract>

This paper presents a technique to classify the circular traffic sign based-on HOG (histogram of oriented gradients) and a ring partitioned matching. The method divides an image into several ring areas, and calculates the HOG feature on each ring area. In the matching process, the weight is assigned to each ring for calculating the distance of HOG feature between tested image and reference image. The experimental results show that the proposed algorithm achieves a high classification rate of 97.8%, without the need of many prepared sample images. The results also show that the best values of the number of orientation bins and the cell size of the HOG parameters are 5 and 10 x 10 pixels respectively.

CIRCULAR TRAFFIC SIGN CLASSIFICATION USING HOG BASED RING PARTITIONED MATCHING

International Journal on Smart Sensing and Intelligent Systems

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

{"article-title":"CIRCULAR TRAFFIC SIGN CLASSIFICATION USING HOG BASED RING PARTITIONED MATCHING"}

This paper presents a technique to classify the circular traffic sign based-on HOG (histogram of oriented gradients) and a ring partitioned matching. The...

CIRCULAR TRAFFIC SIGN CLASSIFICATION USING HOG BASED RING PARTITIONED MATCHING

Pubblicato online: 01 mar 2017

Pagine: 1 - 19

Ricevuto: 02 giu 2017

Accettato: 27 lug 2017

DOI: https://doi.org/10.21307/ijssis-2017-232

Parole chiave
HOG, traffic sign classification, ring partitioned, template matching

© 2017 Aryuanto Soetedjo et al., published by Sciendo

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

CIRCULAR TRAFFIC SIGN CLASSIFICATION USING HOG BASED RING PARTITIONED MATCHING

Pubblicato online: 01 mar 2017

Pagine: 1 - 19

Ricevuto: 02 giu 2017

Accettato: 27 lug 2017

DOI: https://doi.org/10.21307/ijssis-2017-232

Parole chiaveHOG, traffic sign classification, ring partitioned, template matching

© 2017 Aryuanto Soetedjo et al., published by Sciendo

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

Parole chiave
HOG, traffic sign classification, ring partitioned, template matching