License Plate Locating Based on CRI Reasoning Scheme

Author

Bi, Shujun

Author_Institution

Sch. of Inf. Sci. & Technol., Heilongjiang Univ., Harbin, China

fYear

2011

fDate

21-24 Sept. 2011

Firstpage

69

Lastpage

72

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Networking and Distributed Computing (ICNDC), 2011 Second International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4577-0407-9

Type

conf

DOI

10.1109/ICNDC.2011.22

Filename

6047109