Automatic recognition of a car license plate using color image processing

Author

Lee, Eun Ryung ; Kim, Pyeoung Kee ; Kim, Hang Joon

Author_Institution

Dept. of Comput. Eng., Kyungpook Nat. Univ., Taegu, South Korea

Volume

2

fYear

1994

fDate

13-16 Nov 1994

Firstpage

301

Abstract

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

Keywords

automobiles; character recognition; image colour analysis; image matching; neural nets; automatic recognition method; background colors; boundary deformation; car image; car license plate; character recognition; color image processing; horizontal length; input car image; neural network; plate region; postprocessing; template matching; vertical length; Character recognition; Color; Data mining; Histograms; Image recognition; Licenses; Neural networks; Roads; Robustness; Telecommunication traffic;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413580

Filename

413580