• DocumentCode
    2290770
  • Title

    Dynamic programming matching applied to off-line handwritten character recognition

  • Author

    Huang, Tong ; Yasuhara, Makoto

  • Author_Institution
    Dept. of Inf. Manage. Sci., Univ. of Electro-Commun., Tokyo, Japan
  • Volume
    1
  • fYear
    1996
  • fDate
    14-17 Oct 1996
  • Firstpage
    418
  • Abstract
    Through adding a smoothness term to the Euclidean distance, and removing the restriction for the conventional DP matching method that the matching function must be a monotonously increasing, we extend the DP matching method, which is often used to calculate the distance between two on-line handwritten characters, to the one which can be used to calculate the distance between an on-line handwritten character and an off-line handwritten character. When given a set of on-line handwritten characters as prototypes, we can recognize an unknown off-line handwritten character by use of the proposed extended DP matching method, together with finding one of the possible Eulerian paths for the off-line handwritten character image. The experimental studies have revealed the effectiveness of our method
  • Keywords
    character recognition; dynamic programming; image matching; Euclidean distance; Eulerian paths; dynamic programming matching; off-line handwritten character recognition; smoothness term; Character recognition; Dynamic programming; Euclidean distance; Handwriting recognition; Image recognition; Image segmentation; Information management; Management information systems; Pattern matching; Prototypes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1996., IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-3280-6
  • Type

    conf

  • DOI
    10.1109/ICSMC.1996.569809
  • Filename
    569809