Vehicle detection algorithm for applications pertaining to license plate recognition

Bing-Fei Wu, Meng Liang Chung*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The technology of license plate recognition (LPR) is widely applied to parking lot management systems, intelligent transportation systems, and electronic toll collections. The goal of LPR is to identify license plates quickly and accurately. Therefore, many researchers have proposed methods for achieving this goal. This paper proposes an algorithm that uses information regarding the location of the vehicle to trigger the camera to capture an image of the vehicle. This not only achieves the goal of detecting an image in real time, but also obtains the best image with the license plate as a triggering image. The proposed algorithm does not require additional hardware, and facilitates the precise retrieval of an image that both contains a vehicle and represents the best image from a series of images for recognizing the characters on license plates. This significantly reduces the cost of hardware and is much easier and cheaper to maintain than the traditional detection methods. Experimental results show that the detection success rate of the proposed algorithm reached 92% during the daytime and nighttime. Despite diverse weather conditions, moreover, the detection success rate of the proposed algorithm reached 91%. An extensive vehicle-detection test demonstrates that the proposed algorithm is reliable and accurate.

Original languageEnglish
Pages (from-to)13-22
Number of pages10
JournalChung Cheng Ling Hsueh Pao/Journal of Chung Cheng Institute of Technology
Volume45
Issue number2
StatePublished - 1 Nov 2016

Keywords

  • Image trigger
  • License plate recognition
  • Moving vehicle

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