License Plate Recognition System by Using High Dimensional Model Representation

Dere N., Tunga B.

2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Kizilcahamam, Turkey, 19 - 21 October 2018, pp.588-592 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Kizilcahamam
  • Country: Turkey
  • Page Numbers: pp.588-592
  • Istanbul Technical University Affiliated: Yes


In this paper, it is proposed to match characters in content based images from real time scenes and extract the content as a text into the virtual environment by using the special algorithm called High Dimensional Model Representation (HDMR) for the system of License Plate Recognition. LPR is used to identify vehicles by reading license plates in image processing. Besides various techniques, a new matching algorithm is developed for the implementation of the LPR technology. LPR process is based on three major stages: Extraction of the license plate region from an image, segmentation of characters from the license plate region and recognition of characters which are segmented from the license plate. HDMR is used for working with high dimensional data based on image, at the stage of recognition of characters. The HDMR algorithm is used for matching the characters.