Traffic signs recognition with using optical correlator

Paper presents experiments and results with traffic sing recognition system based on optical correlator. The traffic scene is captured with color camera and key frame is extracted as input for the system. The system consists of two main blocks, Preprocessing and Optical Corelator. The Cambridge Correlator was used. The ROI is defined and chosen in preprocessing block. Preprocessed ROI go to Optical Correlator a then is compared with reference images (traffic signs). Several experiments have been done with this system. Results and conclusion are discussed.