Conference proceeding
License Plate Detection Using Local Structure Patterns
2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance, pp 574-579
Aug 2010
Abstract
We address the problem of license plate detection in video surveillance systems. The Adaboost based approach, known for relative ease of implementation, makes use of discriminative features such as edges or Haar-like features. In this paper, we propose a novel detection algorithm based on local structure patterns for license plate detection. The proposed algorithm includes post-processing methods to reduce false positive rate using positional and color information of license plates. Experimental results demonstrate effectiveness of the proposed method compared to both the edge and Haar-like feature based methods.
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26 citations in Scopus
Details
- Title
- License Plate Detection Using Local Structure Patterns
- Creators
- Younghyun Lee - Korea UniversityTaeyup Song - Korea UniversityBonhwa Ku - Korea UniversitySeoungseon Jeon - SamsungDavid K Han - Office of Naval ResearchHanseok Ko - Korea University
- Publication Details
- 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance, pp 574-579
- Publisher
- IEEE
- Number of pages
- 6
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Scopus ID
- 2-s2.0-78449299451
- Other Identifier
- 991021931081104721