DocumentCode :
2454348
Title :
Morphology-based license plate detection from complex scenes
Author :
Hsieh, Jun-Wei ; Yu, Shih-Hao ; Chen, Yung-Sheng
Author_Institution :
Dept. of Electr. Eng., Yuan Ze Univ., Taiwan
Volume :
3
fYear :
2002
fDate :
2002
Firstpage :
176
Abstract :
This paper presents a morphology-based method for detecting license plates from cluttered images. The proposed system consists of three major components. At the first, a morphology-based method is proposed to extract important contrast features as guides to search the desired license plates. The contrast feature is robust to lighting changes and invariant to several transformations like scaling, translation, and skewing. Then, a recovery algorithm is applied for reconstructing a license plate if the plate is fragmented into several parts. The last step is to do license plate verification. The morphology based method can significantly reduce the number of candidates extracted from the cluttered images and thus speeds up the subsequent plate recognition. Under the experimental database, 128 examples got from 130 images were successfully detected. The average accuracy of license plate detection is 98%. Experimental results show that the proposed method improves the state-of-the-art work in terms of effectiveness and robustness of license plate detection.
Keywords :
feature extraction; optical character recognition; cluttered images; complex scenes; morphology-based license plate detection; morphology-based method; scaling; skewing; translation; Character recognition; Clustering algorithms; Image edge detection; Image processing; Image recognition; Image segmentation; Layout; Licenses; Robustness; Vehicle detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-1695-X
Type :
conf
DOI :
10.1109/ICPR.2002.1047823
Filename :
1047823
Link To Document :
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