Title :
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
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;
Conference_Titel :
Image and Video Technology (PSIVT), 2010 Fourth Pacific-Rim Symposium on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-8890-2
DOI :
10.1109/PSIVT.2010.29
