A Robust Method for License Plate Detection

Author

Luo, Jian ; Yang, Su ; Guan, Ruimin ; Niu, Haijun

Author_Institution

Key Lab. of Intell. Inf. Process., Fudan Univ., Shanghai, China

fYear

2010

fDate

14-17 Nov. 2010

Firstpage

133

Lastpage

138

Abstract

License plate detection plays an important role in vehicle license plate recognition for intelligent transport systems. This paper presents a robust method for license plate detection. As we observed, license plate area contains rich corner points´ information. The whole procedure is as follows: (1) Extract the interesting points using Harris corner detector in enhanced car image. (2) Cluster the corner points and apply outlier detection to every cluster. (3) Merge the clusters close to each other and use the gradient information to find the proper block in which the license plate area is enclosed. (4) Train a simple cascade classifier to classify the blocks into two categories: The area possibly containing license plate and those not. (5) Detect the plate region by the rectangle window. Experimental results demonstrate the robustness and the generality of our method.

Keywords

edge detection; feature extraction; image enhancement; object detection; pattern clustering; road vehicles; Harris corner detector; cascade classifier; enhanced car image; intelligent transport systems; license plate area; license plate detection; plate region; rectangle window; rich corner points´ information; vehicle license plate recognition; Classification algorithms; Clustering algorithms; Feature extraction; Image color analysis; Image edge detection; Licenses; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Video Technology (PSIVT), 2010 Fourth Pacific-Rim Symposium on

Conference_Location

Singapore

Print_ISBN

978-1-4244-8890-2

Type

conf

DOI

10.1109/PSIVT.2010.29

Filename

5673686