BibTeX:

@article{IJIRSTV3I1064,
     title={Multiple Perception for Indian Road Sign Recognition and Classification},
     author={Jaya Chidanand Kadganchikar and Jyoti Neginal},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={1},
     pages={98--100},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I1064.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

In human general activities the movement from one place to another place is an important aspect. The use of vehicles is a main resource for the movement of the humans from place to place. It requires the person who is capable of handling the vehicle and also has the knowledge regarding the road driving rules. These rules regarding the driving system are displayed at each road on side to street. Detection of these sign board meaning is an important aspect in the maintains of the road collision. If the user who driving understands the sign than the collision can be reduced significantly. Hence we propose a traffic sign recognition system for the user who doesn’t know the meaning of sign exactly. The system detects the sign based in the features like shape and colour and later classifies the sigh based in the perception classifier to give the result to user after interpretation.

Traffic sign recognition, SVM, SIFT, Bag-of-words