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  • Communications Faculty of Sciences University Ankara Series A2-A3 Physical and Engineering
  • Volume:58 Issue:2
  • REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION

REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION

Authors : Betül ARSLAN, Turgut BÜYÜKKAYA, Hakkı ALPARSLAN ILGIN
Pages : 70-83
Doi:10.1501/commua1-2_0000000097
View : 10 | Download : 12
Publication Date : 2016-10-01
Article Type : Research Paper
Abstract :Image processing applications can provide a safer and less exhausting driving experience for drivers. In this paper, a real time traffic sign identification based on color thresholding, regional color density and recognition via principle component analysis algorithm is implemented. Also problems which may cause traffic signs not to be recognized are studied and necessary improvements are made.
Keywords : Traffic Sign Detection, Traffic Sign Recognition, Color Space, Eigenfaces

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