UM
Adaptive binarization: A new approach to license plate characters segmentation
YI WANG1; BIN FANG1; LI-JUN LAN1; HUI-WU LU02; YUAN-YAN TANG2
2012-10-29
Conference Name2012 International Conference on Wavelet Analysis and Pattern Recognition
Source PublicationProceedings of the 2012 International Conference on Wavelet Analysis and Pattern Recognition
Pages91-99
Conference Date15-17 July 2012
Conference PlaceXian
CountryChina
PublisherIEEE
Abstract

Binarization of plate image is one of the major tasks in license plate recognition system (LPR). Many researchers have established various kinds of theories to reduce the degradation effects on a car license plate. However, most of these theories are not efficient in practice due to their expensive computational cost. This paper focuses on the binarization task of poor illumination in a practical commercial car license plates system. In proposed method, a mathematic morphology filter will be used as a low-pass filter to improve the illumination of license plate. To eliminate the impact of illumination, average filter, Gaussian filter and median filter are chosen to filter the plate image respectively. At last, convert the gray-scale image to binary image by the local threshold obtained from the convolved image with illumination compensation coefficient. Experimental results show that our method provides robust and low computational cost under various lightning or illumination effects. 

KeywordAdaptive Binarization Adaptive Thresholding Image Binarization Image Segmentation License Plate Analysis License Plate Binarization
DOIhttps://doi.org/10.1109/ICWAPR.2012.6294761
URLView the original
Language英语
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Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.College of Computer Science, Chongqing University, Chongqing 400030, China
2.Department of Computer and Information Science, University of Macau, Macau, China
Recommended Citation
GB/T 7714
YI WANG,BIN FANG,LI-JUN LAN,et al. Adaptive binarization: A new approach to license plate characters segmentation[C]:IEEE,2012:91-99.
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