An Efficient Features - Based License Plate Localization Method

This paper presents a feature-based license plate localization algorithm that copes with multi-object problem in different image capturing conditions. The proposed algorithm is robust against illumination, shadow, scale, rotation, and weather condition. It extracts license plate candidates using edg...

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Bibliographic Details
Published in18th International Conference on Pattern Recognition (ICPR'06) Vol. 2; pp. 841 - 844
Main Authors Mahini, Hamid, Kasaei, Shohreh, Dorri, Faezeh, Dorri, Fatemeh
Format Conference Proceeding
LanguageEnglish
Published IEEE 2006
Subjects
Filtering
Image databases
Image edge detection
Licenses
Lighting
Morphological operations
Robustness
Statistics
Terminology
Vehicle detection
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Summary:This paper presents a feature-based license plate localization algorithm that copes with multi-object problem in different image capturing conditions. The proposed algorithm is robust against illumination, shadow, scale, rotation, and weather condition. It extracts license plate candidates using edge statistics and morphological operations and removes the incorrect candidates according to the determined features of license plates. We have formed a rather complete database of 269 images in different conditions. The proposed algorithm successfully detecteds the accurate location of the license plates in 96.5% cases, which outperforms the other available approaches in the literature.
ISBN:0769525210
9780769525211
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2006.239