Shape Classification Algorithm Using Support Vector Machines for Traffic Sign Recognition

2005 ◽  
pp. 873-880 ◽  
Author(s):  
P. Gil-Jiménez ◽  
S. Lafuente-Arroyo ◽  
S. Maldonado-Bascón ◽  
H. Gómez-Moreno
Keyword(s):  
Support Vector Machines ◽  
Classification Algorithm ◽  
Support Vector ◽  
Shape Classification ◽  
Traffic Sign Recognition ◽  
Traffic Sign ◽  
Sign Recognition ◽  
Vector Machines

Traffic Sign Detection and Pattern Recognition Based on Binary Tree Support Vector Machines

2011 ◽  
Vol 204-210 ◽  
pp. 1394-1398
Author(s):  
Fa Ming Gong ◽  
Hai Juan Li
Keyword(s):  
Binary Tree ◽  
Feature Vector ◽  
Recognition System ◽  
Support Vector ◽  
Shape Classification ◽  
Traffic Sign ◽  
Road Sign ◽  
Vector Machines ◽  
Sign Detection ◽  
Traffic Sign Detection

This paper presents an automatic road sign detection and recognition system based on binary tree SVM. Color based segmentation techniques are employed for traffic sign detection. The coordinates position of traffic sign in images used for shape classification are obtained by orthogonal projection. An algorithm based on Hough transform was proposed to achieve better shape classification performance.Recognition of traffic signs are implemented using binary tree multi- classifer SVM with geometry semantic feature as the feature vector

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