Early Model of Traffic Sign Reminder Based on Neural Network
Abstract: Recognizing the
traffic signs installed on the streets is one of the requirements of driving on
the road. Laxity in driving may result in traffic accident. This paper
describes a real-time reminder model, by utilizing a camera that can be
installed in a car to capture image of traffic signs, and is processed and
later to inform the driver. The extracting feature harnessing the morphological
elements (strel) is used in this paper. Artificial Neural Networks is used to
train the system and to produce a final decision. The result shows that the
accuracy in detecting and recognizing the ten types of traffic signs in
real-time is 80%.
Author: Budi Rahmani,
Supriyadi
Journal Code: jptkomputergg120105
