The objective of this paper is to be able to detect the area of a car license in a photograph. Using computer vision and
digital image processing techniques. The different processes to which a photograph of a car is subjected will be explained in order to
detect its registration. It will be indicated under what conditions the presented algorithm is effective and correctly detects the
registration and under what conditions it can produce false positives. Indicate that the algorithm will only detect the area where the
license plate is located, adjusting as much as possible the size of this zone to the size of the license plate.
Published In:IJCSN Journal Volume 6, Issue 6
Date of Publication : December 2017
Pages : 677-681
Tables : --
Alhamzawi Hussein Ali mezher : Faculty of Informatics/University of Debrecen
Kassai ut 26, 4028 Debrecen, Hungary.
The method described in this communication has shown a
relatively high success rate when used in sequences of
images. The phase of locating license plates handles
complex scenes quite well, demonstrating a high
discriminatory power. However, it would be desirable to
improve the character recognition in the future as well as
the location of the license plate sides.
 Sunghoon Kim, Daechul Kim, Younbok Ryu,
Gyeonghwan Kim (2002). “A Robust LicensePlate
Extraction Method under Complex Image Conditions”,
ICPR’02, p216-219 vol.3.
 Shyang-Lih C., Li-Shien C., Yun-Chung C., and Sei-
Wan C. (2004) “Automatic License Plate Recognition”.
IEEE Trans. On Intelligent Transportation Systems, Vol.
5, No. 1, pp.42-53.
 Transport for London, http://www.tfl.gov.uk  Borba, B., Vasconcelos, C., Albuquerque, M. et
al.(2002), “Localization of Brazilian Vehicles Plates
Using Frequency Analysis”. SIBGRAPI’02, p 408-.
 Martín, F., Borges, D., (2003). “Automatic car plate
recognition using partial segmentation algorithm”,
SPPRA 2003, 404-045.
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