• DocumentCode
    2103297
  • Title

    Automatic Number Plate Recognition on FPGA

  • Author

    Xiaojun Zhai ; Bensaali, Faycal ; McDonald-Maier, K.

  • Author_Institution
    Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    325
  • Lastpage
    328
  • Abstract
    Automatic Number Plate Recognition (ANPR) systems have become one of the most important components in the current Intelligent Transportation Systems (ITS). In this paper, a FPGA implementation of a complete ANPR system which consists of Number Plate Localisation (NPL), Character Segmentation (CS), and Optical Character Recognition (OCR) is presented. The Mentor Graphics RC240 FPGA development board was used for the implementation, where only 80% of the available on-chip slices of a Virtex-4 LX60 FPGA have been used. The whole system runs with a maximum frequency of 57.6 MHz and is capable of processing one image in 11ms with a successful recognition rate of 93%.
  • Keywords
    field programmable gate arrays; image segmentation; intelligent transportation systems; optical character recognition; ANPR systems; CS; ITS; NPL; OCR; Virtex-4 LX60 FPGA; automatic number plate recognition systems; character segmentation; frequency 57.6 MHz; image processing; intelligent transportation systems; mentor graphics RC240 FPGA development board; number plate localisation; on-chip slices; optical character recognition; recognition rate; Artificial neural networks; Feature extraction; Field programmable gate arrays; Hardware; Licenses; Optical character recognition software; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits, and Systems (ICECS), 2013 IEEE 20th International Conference on
  • Conference_Location
    Abu Dhabi
  • Type

    conf

  • DOI
    10.1109/ICECS.2013.6815420
  • Filename
    6815420