Road-Sign Detection and Recognition Based on Support Vector Machines

Universidad de Alcalá

Indexed incrossref

Abstract

This paper presents an automatic road-sign detection and recognition system based on support vector machines (SVMs). In automatic traffic-sign maintenance and in a visual driver-assistance system, road-sign detection and recognition are two of the most important functions. Our system is able to detect and recognize circular, rectangular, triangular, and octagonal signs and, hence, covers all existing Spanish traffic-sign shapes. Road signs provide drivers important information and help them to drive more safely and more easily by guiding and warning them and thus regulating their actions. The proposed recognition system is based on the generalization properties of SVMs. The system consists of three stages: 1)…

Citation impact

719
total citations
FWCI
45.63
Percentile
100%
References
29
Citations per year

Authors

5

Topics & keywords

Keywords
  • Support vector machine
  • Artificial intelligence
  • Traffic sign recognition
  • Computer science
  • Pattern recognition (psychology)
  • Computer vision
  • Segmentation
  • Generalization
UN Sustainable Development Goals
  • Sustainable cities and communities
No related works found for this paper.