Curved Segmentation Path Construction for Unconstrained Handwritten Hangul Segmentation

  • Sungho Park
  • Wontaek Seo
  • Beom-joon Cho
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3192)


Up to now, most Korean character recognition has been developed on the assumption that it was segmented into characters perfectly. It is difficult to adapt the method that is used in English, since there are spaces in a character. Because a Korean character, which we call a syllable, is composed of two or more graphemes on 2D plane, and also the characteristic of touch that occurred between character is often occurred between graphemes. In this paper, we propose the method that uses a virtual segmentation path for segmentation of unconstrained handwritten Korean characters. The main property of the proposed method is that not only the curved segmentation path which is using the space between character is used, but also the straight line segmentation path is used. The segmentation process is divided into two steps. In the first step, a straight line segmentation path of a Korean word is determined using preprocessing and vertical projection, and words that are overlapped or touching are passed to the next step. In the second step, feature points are extracted for making a number of virtual curved paths, and then the most suitable path is determined using center of gravity which is marked between three adjacent points.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Kim, G., Yoon, J.J.: An Approach to segmentation of address strings of unconstrained handwritten Hangle using Run-length code. Korean Information Science Journal 28(11), 813–821 (2001)Google Scholar
  2. 2.
    Jeong, S., Kim, S.: Word segmentation in handwritten Korean text lines based on GAP clustering. Korean Information Science Journal 27(6), 660–667 (2000)Google Scholar
  3. 3.
    Hwang, S., Kim, M.: Consonant-vowel classification based segmentation technique for handwritten off-line Hangul. Korean Information Processing Journal 3(4), 1002–1013 (1996)Google Scholar
  4. 4.
    Elnagar, A., Alhajj, R.: Segmentation of connected handwritten numeral strings. Pattern Recognition 36, 625–634 (2003)CrossRefGoogle Scholar
  5. 5.
    Yanikoglu, B., Sandon, P.A.: Segmentation of off-line cursive handwriting using linear programming. Pattern Recognition 31, 1825–1833 (1998)CrossRefGoogle Scholar
  6. 6.
    Kim, G.: Architecture for handwritten text recognition systems. In: Proc. Sixth International Workshop on Frontiers in Handwritten Recognition, pp. 113–122 (1998)Google Scholar
  7. 7.
    Dzuba, G., Filatov, A., Volgunin, A.: Handwritten ZIP code recognition. In: Proc. Fourth International Conference on Document Analysis and Recognition, pp. 766–770 (1997)Google Scholar
  8. 8.
    Zhao, S., Chi, Z., Shi, P., Yan, H.: Two-stage segmentation of unconstrained handwritten Chinese characters. Pattern Recognition 36, 145–156 (2001)CrossRefGoogle Scholar
  9. 9.
    Pal, U., Belaid, A., Choisy, C.: Touching numeral segmentation using water reservoir concept. Pattern Recognition Letters 24, 261–272 (2003)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Sungho Park
    • 1
  • Wontaek Seo
    • 2
  • Beom-joon Cho
    • 2
  1. 1.Dept. of Computer Information CommunicationNamdo Provincial CollegeKorea
  2. 2.Dept. of Computer EngineeringChosun UniversityGwangjuKorea

Personalised recommendations