Traffic sign localization based on edge-color pair and feature filters

Wenju Li, Haifeng Li, Tianzhen Dong, Jianguo Yao, Xiangjian He

Research output: Journal PublicationArticlepeer-review

1 Citation (Scopus)


Traffic sign localization is a key part of the traffic sign recognition system. A novel algorithm for traffic sign localization based on edge-color pair combined with feature filters is presented in this paper. Firstly, the color edge detection is taken by the method of distance measure of direction region in a color image. Secondly, the suspected regions of the traffic sign are localized roughly based on edge-color pair. Finally, a two-level feature filter is designed to localize the traffic sign accurately. The experiment on 200 traffic sign images that were taken under various conditions shows the extraction rate of 96.1%. The experimental results show that the algorithm in this paper can effectively eliminate the color fade effect and the analogue interference effect on traffc sign localization.

Original languageEnglish
Pages (from-to)727-732
Number of pages6
JournalICIC Express Letters
Issue number3
Publication statusPublished - 1 Mar 2016
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science


Dive into the research topics of 'Traffic sign localization based on edge-color pair and feature filters'. Together they form a unique fingerprint.

Cite this