TR
EN
REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION
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
Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Publication Date
October 1, 2016
Submission Date
May 12, 2014
Acceptance Date
-
Published in Issue
Year 2016 Volume: 58 Number: 2
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.Betül Arslan, Turgut Büyükkaya, Hakkı Alparslan Ilgın. REAL TIME TRAFFIC SIGN DETECTION AND RECOGNITION. Commun.Fac.Sci.Univ.Ank.Series A2-A3: Phys.Sci. and Eng. 2016 Oct. 1;58(2):70-83. doi:10.1501/commua1-2_0000000097
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