• DocumentCode
    2127494
  • Title

    Biomimetic segmentation of unconstrained touching numeral strings

  • Author

    Jie, Ding ; Jing-yu, Yang

  • Author_Institution
    Research Institute of Information and Communication, State Grid Electric Power Research Institute, Nanjing, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    1073
  • Lastpage
    1076
  • Abstract
    This paper presents a new bionic segmentation method which chooses principal curves to extract strokes of characters and form the stroke sequence. The training sample space is constructed by the Affinity Propagation (AP) algorithm and Bionic Pattern Recognition (BPR) theory. The stroke sequence is divided by calculating the distance of each subsequence to the relative subspace. Experimental results indicate that the method is effective in the segmentation of unconstrained handwritten numeral strings.
  • Keywords
    Character recognition; Classification algorithms; Complexity theory; Feature extraction; Handwriting recognition; Training; Affinity Propagation Clustering; bionic pattern recognition; principal curve; stroke sequence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5690392
  • Filename
    5690392