Title :
Optical correlator based Traffic Signs Recognition
Author :
Harasthy, T. ; Turán, J. ; Ovseník, L. ; Fazekas, K.
Author_Institution :
Dept. of Electron. & Multimedia Commun., Tech. Univ. of Kosice, Kosice, Slovakia
Abstract :
Paper presents experiments and results with traffic sign recognition system based on Cambridge Correlator. The real traffic scene is used and captured with color camera. The system consists of three main blocks, Preprocessing, Optical Correlator and Traffic Sign Identification. The ROI is defined and chosen in preprocessing block. Preprocessed ROI go to Optical Correlator a then is compared with reference images (traffic signs). After correlation, the position of correlations peaks present recognized Traffic Sign. Several experiments have been done with this system. Results and conclusion are discussed.
Keywords :
cameras; correlation methods; image colour analysis; image recognition; traffic engineering computing; ROI; cambridge correlator; color camera; optical correlator; real traffic scene; reference images; traffic sign identification; traffic sign recognition system; Correlation; Correlators; Filtering; High speed optical techniques; Image color analysis; Optical filters; Optical imaging; Color segmentation; Optical Fourier Transform; Optical correlator; Traffic Sign Identification;
Conference_Titel :
Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-1-4577-2191-5
