• DocumentCode
    2942701
  • Title

    License plate digit recognition using 7×5 binary templates at an outdoor parking lot entrance

  • Author

    Martínez-Carballido, Jorge ; Alfonso-López, Rubén ; Ramírez-Cortés, Juan M.

  • Author_Institution
    Inst. Nac. de Astrofis., Opt. y Electron., Tonantzintla, Mexico
  • fYear
    2011
  • fDate
    Feb. 28 2011-March 2 2011
  • Firstpage
    18
  • Lastpage
    21
  • Abstract
    Digit recognition for license plate recognition is a core process, simplicity on the algorithm to recognize digits on the LPR context is of importance, given that there is an ever increasing vehicle flow and need for recognizing license plates on different environments and applications such as: unattended parking lots, automatic toll collection, traffic supervision, access control of restricted office and housing areas. This work uses digit templates as the means to recognize digits. These are 7x5 templates used to compare with binarized license plate digits and selecting one with the smallest difference. Uses image width of the segmented digit as a feature to a perfect recognition of digit ´1´. A segmented digit is reduced to a multi-valued 7x5 matrix, then binarized and compared to select one. 841 segmented digits form the license plates are the test set. Test images were taken at the entrance of an outdoor parking lot. Results show a 97.3% correct recognition on a real outdoor environment.
  • Keywords
    automated highways; character recognition; image segmentation; traffic engineering computing; 7×5 binary template; LPR context; binarized license plate digits; core process; digit segmentation; digit templates; license plate digit recognition; multivalued 7x5 matrix; outdoor parking lot entrance; vehicle flow; Access control; Artificial neural networks; Character recognition; Image recognition; Image segmentation; Licenses; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Communications and Computers (CONIELECOMP), 2011 21st International Conference on
  • Conference_Location
    San Andres Cholula
  • Print_ISBN
    978-1-4244-9558-0
  • Type

    conf

  • DOI
    10.1109/CONIELECOMP.2011.5749324
  • Filename
    5749324