Design and evaluation of a traffic sign recognition system based on Support Vector Machines

Traffic Sign ◽

Sign Recognition ◽

Automated Traffic Sign Recognition System Using Computer Vision and Support Vector Machines

2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol ◽

10.1109/sbr.lars.robocontrol.2014.27 ◽

2014 ◽

Author(s):

Jairo Alejandro Gomez ◽

Sergio Bromberg

Keyword(s):

Computer Vision ◽

Support Vector Machines ◽

Recognition System ◽

Support Vector ◽

Traffic Sign ◽

Sign Recognition ◽

A Support Vector Machines network for traffic sign recognition

The 2011 International Joint Conference on Neural Networks ◽

10.1109/ijcnn.2011.6033503 ◽

2011 ◽

Cited By ~ 15

Author(s):

Fabio Boi ◽

Lorenzo Gagliardini

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Traffic Sign ◽

Sign Recognition ◽

Computational Intelligence and Bioinspired Systems - Lecture Notes in Computer Science ◽

Shape Classification Algorithm Using Support Vector Machines for Traffic Sign Recognition

10.1007/11494669_107 ◽

2005 ◽

pp. 873-880 ◽

Cited By ~ 17

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 ◽

Sign Recognition ◽

Traffic sign recognition based on color, shape, and pictogram classification using support vector machines

Neural Computing and Applications ◽

10.1007/s00521-017-2887-x ◽

2017 ◽

Vol 30 (9) ◽

pp. 2807-2817 ◽

Cited By ~ 7

Author(s):

Ahmed Madani ◽

Rubiyah Yusof

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Traffic Sign ◽

Sign Recognition ◽

A 92-mW Real-Time Traffic Sign Recognition System With Robust Illumination Adaptation and Support Vector Machine

IEEE Journal of Solid-State Circuits ◽

10.1109/jssc.2012.2211691 ◽

2012 ◽

Vol 47 (11) ◽

pp. 2711-2723 ◽

Cited By ~ 9

Author(s):

Junyoung Park ◽

Joonsoo Kwon ◽

Jinwook Oh ◽

Seungjin Lee ◽

Joo-Young Kim ◽

...

Keyword(s):

Support Vector Machine ◽

Real Time ◽

Recognition System ◽

Support Vector ◽

Traffic Sign ◽

Real Time Traffic ◽

Sign Recognition

2017 International Conference on Intelligent Communication and Computational Techniques (ICCT) ◽

Automatic traffic sign recognition system using fast normalized cross correlation and parallel processing

10.1109/intelcct.2017.8324045 ◽

2017 ◽

Author(s):

M. Sridevi ◽

N. Sankaranarayanan ◽

Ankit Jyothish ◽

Aditya Vats ◽

Milind Lalwani

Keyword(s):

Parallel Processing ◽

Cross Correlation ◽

Recognition System ◽

Traffic Sign ◽

Normalized Cross Correlation ◽

Sign Recognition

A New Approach on Red Color Thresholding for Traffic Sign Recognition System

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics ◽

10.3156/jsoft.19.457 ◽

2007 ◽

Vol 19 (5) ◽

pp. 457-465 ◽

Author(s):

Aryuanto SOETEDJO ◽

Koichi YAMADA

Keyword(s):

Recognition System ◽

Traffic Sign ◽

New Approach ◽

Sign Recognition ◽

Red Color

Communications in Computer and Information Science - Cognitive Computing and Information Processing ◽

Recognition of Traffic Sign Based on Support Vector Machine and Creation of the Indian Traffic Sign Recognition Benchmark

10.1007/978-981-10-9059-2_21 ◽

2018 ◽

pp. 227-238

Author(s):

Vidyagouri B. Hemadri ◽

Umakant P. Kulkarni

Keyword(s):

Support Vector Machine ◽

Support Vector ◽

Traffic Sign ◽

Sign Recognition

Iris Recognition System Using Wavelet Packet and Support Vector Machines

Information Security Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-540-24591-9_28 ◽

2004 ◽

pp. 365-379 ◽

Author(s):

Byungjun Son ◽

Gyundo Kee ◽

Yungcheol Byun ◽

Yillbyung Lee

Keyword(s):

Support Vector Machines ◽

Iris Recognition ◽

Wavelet Packet ◽

Recognition System ◽

Support Vector ◽

Traffic sign recognition application using scale invariant feature transform method and support vector machine based on android

2017 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob) ◽

10.1109/apwimob.2017.8284003 ◽

2017 ◽

Author(s):

Ranti Ratnasari ◽

Budhi Irawan ◽

Casi Setianingsih

Keyword(s):

Support Vector Machine ◽

Support Vector ◽

Traffic Sign ◽

Scale Invariant ◽

Transform Method ◽

Sign Recognition ◽

Invariant Feature ◽

Feature Transform ◽

Scale Invariant Feature