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author:

Weizhi, W. (Weizhi, W..) [1] | Binghan, L. (Binghan, L..) [2]

Indexed by:

Scopus

Abstract:

We conduct feature extraction and feature selection of the pattern of traffic signs based on environmental characteristics of the road tunnel, and the color and shape information of traffic signs, then further accomplish multi-level classification of traffic signs using decision tree method. The method proposed in this paper based on decision tree classification algorithm can convert a complex multi-class problem into several simple classifications. Experimental results show that the algorithm has good recognition results. © 2011 Springer-Verlag.

Keyword:

multilevel classifier; pattern recognition; Traffic signs

Community:

  • [ 1 ] [Weizhi, W.]Fuzhou University, Fuzhou 350108, China
  • [ 2 ] [Binghan, L.]Fuzhou University, Fuzhou 350108, China

Reprint 's Address:

  • [Weizhi, W.]Fuzhou University, Fuzhou 350108, China

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Source :

Lecture Notes in Electrical Engineering

ISSN: 1876-1100

Year: 2011

Issue: VOL. 1

Volume: 132 LNEE

Page: 677-683

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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