• DocumentCode
    384112
  • Title

    Post-processing scheme for improving recognition performance of touching handwritten numeral strings

  • Author

    Kim, Kye Kyung ; Chung, Yun Koo ; Suen, Ching Y.

  • Author_Institution
    Electron. & Telecommun. Res. Inst., Daejeon, South Korea
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    327
  • Abstract
    This paper describes a post-processing scheme to improve recognition performance of touching handwritten numeral strings. Verification factors are defined to rectify the recognition results of digits that are segmented by the highest reliability values. Three kinds of verification factors from structural features and recognition probability are used to determine mis-segmented digits. Additional segment digit set is included in valid digit sets when it satisfies the reconsideration condition. A final optimal digit set is selected as the highest ranked segment digit set among all candidate segmented digit sets. Introduction of reconsideration condition and additional segment digit set improves the reliability of the recognition result as well as recognition performance. Experiments were carried out with touching handwritten numeral strings of NIST SD19 database and an encouraging recognition result was obtained.
  • Keywords
    Boolean functions; handwritten character recognition; image segmentation; probability; Boolean function; NIST SDI 9 database; handwritten character recognition; post-processing scheme; probability; segment digit set; segmentation; touching handwritten numeral strings; verification factors; Databases; Error correction; Handwriting recognition; NIST; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2002. Proceedings. 16th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-1695-X
  • Type

    conf

  • DOI
    10.1109/ICPR.2002.1047859
  • Filename
    1047859