Automatically detecting road sign text from natural scene video

Wenjing Jia, Xiangjian He, David Tien

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)


Automatic detection of text on road signs can help drivers keep aware of the traffic situation and surrounding environments by reminding them of the signs ahead. Current systems can only detect constrained road signs or produce unsatisfying performance when dealing with complex scenes in practical use. This paper firstly reviews the existing techniques used for text detection from natural scene. A novel system which detects text on road signs from natural scene video is then proposed. Our detailed approaches and methodology give a promising solution to this problem in order to reduce the running time and improve the recognition rate.

Original languageEnglish
Title of host publication2006 IEEE Region 10 Conference, TENCON 2006
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)1424405491, 9781424405497
Publication statusPublished - 2006
Externally publishedYes
Event2006 IEEE Region 10 Conference, TENCON 2006 - Hong Kong, China
Duration: 14 Nov 200617 Nov 2006

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450


Conference2006 IEEE Region 10 Conference, TENCON 2006
CityHong Kong

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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