License Plate Recognition Algorithm Based on Fuzzy Inference for Binary

Author

Li, Feng

Author_Institution

Dept. of Comput. Sci. & Technol., Huaqiao Univ., Xiamen, China

fYear

2012

fDate

17-19 Aug. 2012

Firstpage

131

Lastpage

134

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on

Conference_Location

Chongqing

Print_ISBN

978-1-4673-2406-9

Type

conf

DOI

10.1109/ICCIS.2012.179

Filename

6300298