• DocumentCode
    2554379
  • Title

    MultiClassifier for Car Plate Character Recognition

  • Author

    Lin, Ke-Quan ; Han, Guo-qiang ; Wo, Yan ; Zheng, Li-Xuan ; Yao, Hao-Wei

  • Author_Institution
    Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
  • fYear
    2010
  • fDate
    23-25 Sept. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper designs multiclassifiers according to the structural feature of the character. Meanwhile, use Bayes method to integrate the result of the classifier to general the exact character. If the character is in the similar set, we need to distinguish similar characters. According to the topological structure of the similar character, we could make the similar character apart. In this way, we could improve the recognition rate of the system. The experiments show that multiclassifiers could improve the recognition rate of the system efficiently.
  • Keywords
    Bayes methods; character recognition; image classification; optical character recognition; Bayes method; car plate character recognition; character structural feature; multiclassifier; Artificial neural networks; Character recognition; Feature extraction; Image recognition; Image segmentation; Licenses; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-3708-5
  • Electronic_ISBN
    978-1-4244-3709-2
  • Type

    conf

  • DOI
    10.1109/WICOM.2010.5600673
  • Filename
    5600673
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2554379