Paper
30 October 2009 Recognition of blurred license plate of vehicle based on natural image matting
Fangfang Liang, Yong Liu, Gang Yao
Author Affiliations +
Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 749527 (2009) https://doi.org/10.1117/12.833579
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
Car's license plate identification system based on image processing is one of the key technologies of intelligent transportation system. In most cases, license plate numbers can be accurately recognized by the generic identification systems while the image is clear. However, sometime the license plate are seriously blurred by some dunghill such as mud or water smoke before camera lens, which is hard to be identified. In order to get higher recognition rate of blurred license plate, an approach based on natural image matting is proposed in this paper.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fangfang Liang, Yong Liu, and Gang Yao "Recognition of blurred license plate of vehicle based on natural image matting", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749527 (30 October 2009); https://doi.org/10.1117/12.833579
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Cited by 5 scholarly publications.
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KEYWORDS
Image processing

Image segmentation

Detection and tracking algorithms

Intelligence systems

Lithium

Optical character recognition

System identification

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