A road sign detection and recognition system for mobile devices

2012 ◽  
Author(s):  
Bo Xiong ◽  
Ozgur Izmirli
Keyword(s):  
Mobile Devices ◽  
Recognition System ◽  
Road Sign ◽  
Sign Detection ◽  
Detection And Recognition

Road-Sign Detection and Recognition Based on Support Vector Machines

2007 ◽  
Vol 8 (2) ◽  
pp. 264-278 ◽  
Author(s):  
Saturnino Maldonado-Bascon ◽  
Sergio Lafuente-Arroyo ◽  
Pedro Gil-Jimenez ◽  
Hilario Gomez-Moreno ◽  
Francisco Lopez-Ferreras
Keyword(s):  
Support Vector Machines ◽  
Support Vector ◽  
Road Sign ◽  
Vector Machines ◽  
Sign Detection ◽  
Detection And Recognition

An Approach of Traffic Sign Recognition Algorithm on MATLAB

2014 ◽  
Vol 644-650 ◽  
pp. 3980-3983
Author(s):  
Jia Yang Li ◽  
Mei Xia Song
Keyword(s):  
Real Time ◽  
Intelligent Transportation System ◽  
Recognition System ◽  
Recognition Algorithm ◽  
Traffic Sign Recognition ◽  
Traffic Sign ◽  
Sign Recognition ◽  
Sign Detection ◽  
Traffic Sign Detection ◽  
Detection And Recognition

Traffic sign recognition system is a great important part of intelligent transportation system and advanced auxiliary driving system, and it is a key problem to improve the accuracy and real-time performance of traffic sign detection in reality.Considering to the perspective of accuracy and real-time of traffic sign detection and recognition, this article built the traffic sign detection and recognition method based on MATLAB. Finally, the paper proved the conclusion, and future traffic sign detection and recognition need to be further research topics and practical application prospect.

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

Speed limit sign detection and recognition system using SVM and MNIST datasets

2019 ◽  
Vol 31 (9) ◽  
pp. 5005-5015 ◽  
Author(s):  
Yassmina Saadna ◽  
Ali Behloul ◽  
Saliha Mezzoudj
Keyword(s):  
Recognition System ◽  
Speed Limit ◽  
Sign Detection ◽  
Detection And Recognition
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