Recognition of Car License Plates Using Morphological Information and SOM Algorithm | Zendy

Kwang-Baek Kim | Zendy; DaeSu Kim | Zendy

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Recognition of Car License Plates Using Morphological Information and SOM Algorithm

Author(s) -

Kwang-Baek Kim,

DaeSu Kim

Publication year - 2004

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2004.p0385

Subject(s) - license , computer science , artificial intelligence , rgb color model , character (mathematics) , pattern recognition (psychology) , character recognition , computer vision , tracking (education) , algorithm , image (mathematics) , mathematics , psychology , pedagogy , geometry , operating system

In this paper, we propose car license plate recognition using morphological information and a self-organizing map (SOM) algorithm. Morphological information on horizontal and vertical edges was used to extract the license plate from a car image. A 4-directional contour tracking algorithm was applied to extract the specific area, including characters, from an extracted plate. Recognition of extracted character strings was studied using the SOM algorithm. We used 50 car images to evaluate performance. Extraction for character strings by the proposed method showed better results than that from conventional color information on RGB and HSI. License plate recognition using the SOM algorithm was very efficient.

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