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Study on the Vehicle License Plate Recognition Algorithm In Real-Time Video Using Neural-networks

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2012, 7(4), pp.89-99
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Published : August 31, 2012

Hong Han Kuk 1 심재용 2 Lee Chang Yeol 1

1동의대학교
2동아대학교

Accredited

ABSTRACT

In general, recognition of vehicle license plate is conducted three-step process that are the acquisition of images of vehicle license plate, license plate area detection and character recognition. In this paper, at the acquisition of image steps, the synthesis of multiple input images to a series of steps by using the video input to eliminate the noise generated from the raised contrast. Enter the next character in the video portion is determined by the position of the national standards set forth in the license plate matching the relative position of the letters was to determine the extent location, If you believe that a match exists, the characters that they believe there is at the plate by detecting in the area of the zone plate. Finally, the outline of a letter to the ART2 neural network to learn patterns recognizing the characters of the plates were inside. Experiment in this paper is used videos with stopped vehicles in front of the building's and parked vehicles.

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