• DocumentCode
    3695073
  • Title

    An open source testing tool for evaluating handwriting input methods

  • Author

    Liquan Qiu;Lianwen Jin;Ruifen Dai;Yuxiang Zhang;Lei Li

  • Author_Institution
    South China University of Technology, Guangzhou, China
  • fYear
    2015
  • Firstpage
    136
  • Lastpage
    140
  • Abstract
    This paper presents an open source tool for testing the recognition accuracy of Chinese handwriting input methods. The tool consists of two modules, namely the PC and Android mobile client. The PC client reads handwritten samples in the computer, and transfers them individually to the Android client in accordance with the socket communication protocol. After the Android client receives the data, it simulates the handwriting on screen of client device, and triggers the corresponding handwriting recognition method. The recognition accuracy is recorded by the Android client. We present the design principles and describe the implementation of the test platform. We construct several test datasets for evaluating different handwriting recognition systems, and conduct an objective and comprehensive test using six Chinese handwriting input methods with five datasets. The test results for the recognition accuracy are then compared and analyzed.
  • Keywords
    "Data structures","Boolean functions","Accuracy","Smart phones","Standards","Protocols"
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition (ICDAR), 2015 13th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICDAR.2015.7333741
  • Filename
    7333741