Title :
License Plate Locating Based on CRI Reasoning Scheme
Author_Institution :
Sch. of Inf. Sci. & Technol., Heilongjiang Univ., Harbin, China
Abstract :
According to the characteristics of the texture on a car license plate (CLP), and the characteristics of the color on the CLP. A new location method based on CRI reasoning scheme is proposed in this paper. First separating the image based on color information and gray information, respectively. Then incorporate these two images and selecting the candidate location plates by using the method of sliding windows. Finally using the CRI fuzzy reasoning scheme selecting the location plate among the candidate location. The experimental results show that the method is effective for car license plate location.
Keywords :
automobiles; fuzzy reasoning; image colour analysis; image recognition; image texture; traffic engineering computing; CRI fuzzy reasoning scheme; automatic license plate recognition system; candidate location plates; car license plate texture; color information; gray information; license plate location; sliding windows; Cognition; Fuzzy reasoning; Image color analysis; Image edge detection; Image segmentation; Licenses; Vehicles; CRI; fuzzy reasoning; license plate location; template matching;
Conference_Titel :
Networking and Distributed Computing (ICNDC), 2011 Second International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-0407-9
DOI :
10.1109/ICNDC.2011.22
