Title :
License Plate Recognition Algorithm Based on Fuzzy Inference for Binary
Author_Institution :
Dept. of Comput. Sci. & Technol., Huaqiao Univ., Xiamen, China
Abstract :
According to the color characteristics and texture characteristics of the license plate, a License plate location method based on fuzzy reasoning model is brought up. The algorithm has the image color broken up and then has its edge detected. At length, the segmentation should be merged. Using sliding window method to elect the candidate plate region. And finally extract the plate region with the fuzzy inference model. Experimental results show that the method has the ideal license plate location effect.
Keywords :
automated highways; feature extraction; fuzzy reasoning; image colour analysis; image segmentation; image texture; object recognition; traffic engineering computing; automatic vehicle recognition system; color characteristics; fuzzy inference model; fuzzy reasoning model; intelligent traffic system; intelligent transportation system; license plate location method; license plate recognition algorithm; plate region extraction; sliding window method; texture characteristics; Cognition; Fuzzy logic; Image color analysis; Image edge detection; Image segmentation; Inference algorithms; Licenses; Color segmentation; Intelligent Transportation; License Plate Recognition; License plate location;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
DOI :
10.1109/ICCIS.2012.179
