DocumentCode
3494349
Title
Coherence vector of Oriented Gradients for traffic sign recognition using Neural Networks
Author
Rajesh, R. ; Rajeev, K. ; Suchithra, K. ; Lekhesh, V.P. ; Gopakumar, V. ; Ragesh, N.K.
Author_Institution
Network Syst. & Technol., Thiruvananthapuram, India
fYear
2011
fDate
July 31 2011-Aug. 5 2011
Firstpage
907
Lastpage
910
Abstract
This paper makes use of Coherence Vector of Oriented Gradients (CVOG) for traffic sign recognition. Experiments are conducted on German Traffic Sign benchmark dataset. The results on traffic sign recognition using CVOG features with neural network classifier is promising. The results based on the combination of other features gave better recognition rates.
Keywords
image recognition; neural nets; pattern classification; traffic engineering computing; CVOG features; coherence vector of oriented gradients; neural networks; traffic sign recognition; Biological neural networks; Coherence; Feature extraction; Image color analysis; Image edge detection; Pattern recognition; Roads; CCV; Coherence Vector of Oriented Gradients; Neural Network Classifier; Traffic Sign Recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), The 2011 International Joint Conference on
Conference_Location
San Jose, CA
ISSN
2161-4393
Print_ISBN
978-1-4244-9635-8
Type
conf
DOI
10.1109/IJCNN.2011.6033318
Filename
6033318
Link To Document