Road sign detection and recognition using Fuzzy ARTMAP: A case study Swedish Speed-Limit signs

Proceedings of the 10th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2006

Volumn , Issue , 2006, Pages 242-249

  Fleyeh, Hasan ^a   Gilani, Syed Omer ^a   Dougherty, Mark ^a  

^a DALARNA UNIVERSITY   (Sweden)

Author keywords

Classification; Color segmentation; Fuzzy ARTMAP; Outdoor images; Traffic signs

Indexed keywords

ARTIFICIAL INTELLIGENCE; CAMERAS; COLOR; COMPUTER NETWORKS; FUZZY NEURAL NETWORKS; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; NEURAL NETWORKS; OPTICAL PROPERTIES; ROADS AND STREETS; SOFT COMPUTING; THEOREM PROVING;

CASE STUDIES; CLASSIFICATION; COLOR DETECTIONS; COLOR SEGMENTATION; FUZZY ARTMAP; FUZZY-ARTMAP NEURAL NETWORKS; HIGH ROBUSTNESSES; HSV COLOR SPACES; INVARIANT METHODS; OFFLINE; ONLINE MODES; OUTDOOR IMAGES; RECOGNITION PROCESSES; RGB IMAGES; ROAD SIGN DETECTIONS; SEGMENTATION ALGORITHMS; SEGMENTED IMAGES; STILL IMAGES; SYSTEM LOADS; TRAINING AND TESTING; TWO STAGES;

TRAFFIC SIGNS;

EID: 34547728493     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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