Neuro-fuzzy System for Road Signs Recognition

Authors:
Bogusław Cyganek
Affiliations:
AGH - University of Science and Technology, Kraków, Poland 30-059
Venue:
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Year:
2008

Citing 5
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Abstract

In this paper a hybrid neuro-fuzzy system for the real-time recognition of the road-signs is presented. For tracking an improvement to the continuously adaptive mean shift method is proposed. It consists in substitution of the probabilistic density for the especially formed membership function. Classification of binary pictograms of the detected signs is done with the kernel morphological neural network which is robust to noise, missing data, and small geometrical deformations of the patterns.