Locating segmentation regions of connected handwritten digits

  • Jianming Hu
  • Hong Yan
Poster Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1451)


Segmentation of handwritten touching characters is an important research topic in Optical Character Recognition (OCR). Finding the initial candidate segmentation points is the first important step. A method is described to locate the initial candidate segmentation regions based on the boundary analysis of a character string. This method can reduce the redundant searching regions significantly. Therefore, the segmentation reliability can be increased and the segmentation time can be reduced.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Casey, R. G., Lecolinet, E.: A survey of methods and strategies in character segmentation. IEEE Trans. Anal. and Mach. Intell. 18 (1996) 690–706CrossRefGoogle Scholar
  2. 2.
    Lu Y., Shridhar, M.: Character segmentation in handwritten words — an overview. Pattern Recognition 29 (1996) 77–96CrossRefGoogle Scholar
  3. 3.
    Casey, R. G., Nagy, G.: Recursive segmentation and classification of composite patterns. in Proc. Sixth Int'l Conf. Pattern Recognition, (1982) 1023–1026Google Scholar
  4. 4.
    Shridhar, M., Badreldin, A.: Recognition of isolated and simply connected handwritten numerals. Pattern Recognition 19 (1986) 1–12CrossRefGoogle Scholar
  5. 5.
    Bayer T. A., Kreßel, U. H.-G.: Cut classification for segmentation. in Proc. Int'l Document Analysis and Recognition, (1993) 565–568Google Scholar
  6. 6.
    Westall, J. M., Narasimha, M. S.: Vertex directed segmentation of handwritten numerals. Pattern Recognition 26 (1993) 1473–1486CrossRefGoogle Scholar
  7. 7.
    Fujisawa, H., Nakano, Y., Kuriro, K.: Segmentation methods for character recognition: From segmentation to document structure analysis. Proc. of the IEEE 80 (1992) 1079–1092CrossRefGoogle Scholar
  8. 8.
    Strathy, N. W., Suen, C. Y., Krzyzak, A.: Segmentation of handwritten digits using contour features. in Proc. 2nd Int'l Conf Document Analysis and Recognition, (1993) 577–580Google Scholar
  9. 9.
    Hu, J., Yu, D., Yan, H.: Algorithm for stroke width compensation of handwritten characters. Electronics Letters 32 (1996) 2221–2222CrossRefGoogle Scholar
  10. 10.
    Yu, D., Yan, H.: An efficient algorithm for smoothing, linearization and detection of structural feature points of binary image contours. Pattern Recognition 30 (1997) 57–69CrossRefGoogle Scholar
  11. 11.
    Hu, J., Yu, D., Yan, H.: A multiple point boundary smoothing algorithm. Pattern Recognition Letters, accepted.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Jianming Hu
    • 1
  • Hong Yan
    • 1
  1. 1.Department of Electrical EngineeringThe University of SydneyNSWAustralia

Personalised recommendations