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Real time traffic sign detection and recognition

Year 2016, , 70 - 83, 01.10.2016

Betül Arslan Turgut Büyükkaya Hakkı Alparslan Ilgın

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

Abstract

REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION

Year 2016, , 70 - 83, 01.10.2016

Betül Arslan Turgut Büyükkaya Hakkı Alparslan Ilgın

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

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 Articles
Authors

Betül Arslan This is me

Turgut Büyükkaya This is me

Hakkı Alparslan Ilgın This is me

Publication Date October 1, 2016
Submission Date May 12, 2014
Published in Issue Year 2016

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 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. October 2016;58(2):70-83. doi:10.1501/commua1-2_0000000097
Chicago Arslan, Betül, Turgut Büyükkaya, and Hakkı Alparslan Ilgın. “REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION”. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 58, no. 2 (October 2016): 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 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, 2016, doi: 10.1501/commua1-2_0000000097.
ISNAD 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 58/2 (October 2016), 70-83. https://doi.org/10.1501/commua1-2_0000000097.
JAMA 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, 2016, pp. 70-83, doi:10.1501/commua1-2_0000000097.
Vancouver 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.

Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering

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