DocumentCode :
2072067
Title :
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
Link To Document :
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