A study on an efficient sign recognition algorithm for a ubiquitous traffic system on DSP

  • Authors:
  • Jong Woo Kim;Kwang Hoon Jung;Chung Chin Hyun

  • Affiliations:
  • Department of Information and Control Engineering, Kwangwoon University, Seoul, Korea;Department of Information and Control Engineering, Kwangwoon University, Seoul, Korea;Department of Information and Control Engineering, Kwangwoon University, Seoul, Korea

  • Venue:
  • ICCSA'05 Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I
  • Year:
  • 2005

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Abstract

This paper presents an efficient Ubiquitous computing algorithm to detect a Korean traffic sign board using adaptive segmentation by estimating an inequality and proceeding the geometrical morphology, and matching with an adaptive local affine transform. Our approach shows significant performance with efficient detection about the traffic sign board and robust recognition of object sign. Also, detection with adaptive segmentation and recognition with adaptive local affine transformation by using TMS320C6711 DSP Vision Board are set to highlight the advantages of our algorithm.