Automatic recognition of a car license plate using color image processing

An automatic recognition method of a car license plate using color image processing is presented. At first, background colors of a plate are extracted from an input car image. A neural network is used for more stable extraction. To find a plate region, a fixed ratio of horizontal and vertical length...

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Bibliographic Details
Published inImage Processing, 1994 International Conference on Vol. 2; pp. 301 - 305 vol.2
Main Authors Eun Ryung Lee, Pyeoung Kee Kim, Hang Joon Kim
Format Conference Proceeding
LanguageEnglish
Published IEEE Comput. Soc. Press 1994
Subjects
Character recognition
Color
Data mining
Histograms
Image recognition
Licenses
Neural networks
Roads
Robustness
Telecommunication traffic
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ISBN0818669527
9780818669521
DOI10.1109/ICIP.1994.413580

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Summary:An automatic recognition method of a car license plate using color image processing is presented. At first, background colors of a plate are extracted from an input car image. A neural network is used for more stable extraction. To find a plate region, a fixed ratio of horizontal and vertical length of a plate is used. To recognize characters in a plate, template matching and postprocessing techniques are used. Since the proposed method does not depend on line information of a plate it is very robust to boundary deformation. Also, this method is strong enough to deal with a car's image which has many similar regions with a plate.< >
ISBN:0818669527
9780818669521
DOI:10.1109/ICIP.1994.413580