• DocumentCode
    1598487
  • Title

    Handwritten Numerical String Recognition Based on SVM Verifier

  • Author

    Jian, Zhang ; Wan-juan, Song

  • Author_Institution
    Dept. of Sport Eng. & Inf. Technol., Wuhan Inst. of Phys. Educ., Wuhan, China
  • Volume
    2
  • fYear
    2011
  • Firstpage
    186
  • Lastpage
    188
  • Abstract
    Handwritten numerical recognition is an important branch of handwritten character recognition, The problem of isolated handwritten numerical recognition has been solved, and however, the segmentation and recognition of handwritten numerical string is a difficult problem in this area. An experiment model about handwritten numerical string recognition applied in this paper, which could deal with the problems such as over segmentation and under segmentation by setting verifier based support vector machine. The experiment results show that this method with verifier based support vector machine reduce the decrease of recognition rate because of inaccurate segmentation greatly.
  • Keywords
    handwriting recognition; handwritten character recognition; image segmentation; support vector machines; SVM verifier; handwritten character recognition; handwritten numerical string recognition; handwritten numerical string segmentation; isolated handwritten numerical recognition; over segmentation; support vector machine; under segmentation; Analytical models; Character recognition; Handwriting recognition; Kernel; Numerical models; Probability; Support vector machines; over segmentation; support vector machine; verifier video;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2011 International Conference on
  • Conference_Location
    Zhejiang
  • Print_ISBN
    978-1-4577-0676-9
  • Type

    conf

  • DOI
    10.1109/IHMSC.2011.116
  • Filename
    6038246