• DocumentCode
    419582
  • Title

    Locating destination address block in Korean mail images

  • Author

    Jeong, Seon Hwa ; Jang, Seung Ick ; Nam, Yun-Seok

  • Author_Institution
    Postal Technol. Res. Center, ETRI, Daejeon, South Korea
  • Volume
    2
  • fYear
    2004
  • fDate
    23-26 Aug. 2004
  • Firstpage
    387
  • Abstract
    We propose a method of locating destination address blocks in both machine-printed and handwritten Korean mail images. The proposed method extracts connected components from a binarized mail image, generates rough text lines by merging them, and then groups the text lines into nine clusters. A destination address block is determined by selecting some clusters. Considering the geometric characteristics of information on Korean mails, we segment a mail image into nine areas with an equal size. The nine clusters are initialized with the center coordinate of each area. A modified Manhattan distance is used to calculate the distance between a text line and a cluster. We modified the distance function on which the aspect ratio of mail image could be reflected. The experiment done with live Korean mail images has demonstrated the superiority of the proposed method. The success rate for the 1,988 testing images was about 93.56%.
  • Keywords
    handwritten character recognition; image recognition; image segmentation; address recognition; destination address block location; handwritten Korean mail image; image segmentation; machine printed Korean mail image; Advertising; Character recognition; Data mining; Guidelines; Image generation; Image recognition; Image segmentation; Merging; Postal services; Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1334228
  • Filename
    1334228