REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION

Betül Arslan; Turgut Büyükkaya; Hakkı Alparslan Ilgın

doi:10.1501/commua1-2_0000000097

Research Article

Real time traffic sign detection and recognition

Year 2016, Volume: 58 Issue: 2, 70 - 83, 01.10.2016

Betül Arslan Turgut Büyükkaya Hakkı Alparslan Ilgın

https://doi.org/10.1501/commua1-2_0000000097

https://izlik.org/JA66WW52RM

Abstract

REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION

Year 2016, Volume: 58 Issue: 2, 70 - 83, 01.10.2016

Betül Arslan Turgut Büyükkaya Hakkı Alparslan Ilgın

https://doi.org/10.1501/commua1-2_0000000097

https://izlik.org/JA66WW52RM

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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Details

Primary Language	English
Subjects	Engineering
Journal Section	Research Article
Authors	Betül Arslan This is me Turgut Büyükkaya This is me Hakkı Alparslan Ilgın This is me
Submission Date	May 12, 2014
Publication Date	October 1, 2016
DOI	https://doi.org/10.1501/commua1-2_0000000097
IZ	https://izlik.org/JA66WW52RM
Published in Issue	Year 2016 Volume: 58 Issue: 2

Cite

APA	Arslan, B., Büyükkaya, T., & Alparslan Ilgın, H. (2016). REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, 58(2), 70-83. https://doi.org/10.1501/commua1-2_0000000097
AMA	1.Arslan B, Büyükkaya T, Alparslan Ilgın H. REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. 2016;58(2):70-83. doi:10.1501/commua1-2_0000000097
Chicago	Arslan, Betül, Turgut Büyükkaya, and Hakkı Alparslan Ilgın. 2016. “REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 58 (2): 70-83. https://doi.org/10.1501/commua1-2_0000000097.
EndNote	Arslan B, Büyükkaya T, Alparslan Ilgın H (October 1, 2016) REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 58 2 70–83.
IEEE	[1]B. Arslan, T. Büyükkaya, and H. Alparslan Ilgın, “REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION”, Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng., vol. 58, no. 2, pp. 70–83, Oct. 2016, doi: 10.1501/commua1-2_0000000097.
ISNAD	Arslan, Betül - Büyükkaya, Turgut - Alparslan Ilgın, Hakkı. “REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 58/2 (October 1, 2016): 70-83. https://doi.org/10.1501/commua1-2_0000000097.
JAMA	1.Arslan B, Büyükkaya T, Alparslan Ilgın H. REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. 2016;58:70–83.
MLA	Arslan, Betül, et al. “REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, vol. 58, no. 2, Oct. 2016, pp. 70-83, doi:10.1501/commua1-2_0000000097.
Vancouver	1.Arslan B, Büyükkaya T, Alparslan Ilgın H. REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. [Internet]. 2016 Oct. 1;58(2):70-83. Available from: https://izlik.org/JA66WW52RM

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