Road sign feature extraction and recognition using dynamic image processing

Shigeharu Miyata, Akira Yanou, Hitomi Nakamura, Shin Takehara

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)


In the research field of intelligent transportation systems (ITS), various suggestions have been made concerning road signs which can be automatically recognized by driver-support systems. Almost all of the methods proposed for road sign identification and recognition are processes performed using an instantaneously-acquired static image. As a result, the processing time is a problem. The method which this paper proposes assumes the use of an on-board camera, and involves processing of a dynamic image, allowing effective processing in case when the sign is temporarily hidden by another object. In addition, this paper proposes a simple algorithm for sign detection and recognition that reduces the amount of required calculation. In this paper, nine kinds of signs, such as "STOP," "NO ENTRY" and "NO PASSAGE" were prepared, each 1/3 the size of the actual signs. Experiments were then carried out for recognition of these signs under various kinds of measurement conditions.

Original languageEnglish
Pages (from-to)4105-4113
Number of pages9
JournalInternational Journal of Innovative Computing, Information and Control
Issue number11
Publication statusPublished - Nov 1 2009


  • Computer vision
  • Dynamic image processing
  • Image recognition
  • Traffic Sign

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computational Theory and Mathematics


Dive into the research topics of 'Road sign feature extraction and recognition using dynamic image processing'. Together they form a unique fingerprint.

Cite this