A study on traffic sign recognition in scene image using genetic algorithms and neural networks
- 23 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3, 1838-1843
- https://doi.org/10.1109/iecon.1996.570749
Abstract
This research is concerned with a new technology for the recognition of traffic signs from a scene image using genetic algorithms (GA) and neural networks (NN). First, an original video image is obtained as a binary image by using the smoothing filter and the Laplacian filter. Second, the traffic sign in a scene image is searched using a proposed GA. Third, if there exist two traffic signs in a video image, the method to detect the second traffic sign is developed based on the fitness of individuals. Finally, it can be recognized using NN what kind of traffic sign is taken. Through these recognition experiments, it can be shown that the new technology proposed here is sufficiently valid for the recognition of a traffic sign from a scene image.Keywords
This publication has 2 references indexed in Scilit:
- Learning representations by back-propagating errorsNature, 1986
- "Motion" and "measurement" in computer vision & robot vision.Journal of the Japan society of photogrammetry and remote sensing, 1986