Improving the use of contours and skeletons for off-line cursive script segmentation

  • A. Chianese
  • M. De Santo
  • A. Picariello
Poster Session D: Biomedical Applications, Detection, Control & Surveillance, Inspection, Optical Character Recognition
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)


Segmentation process represents a very difficult task for handwritten recognition aims, due to large variations involved in cursive scripts. This paper describes a method for off-line unconstrained handwritten segmentation, based on a combined use of contour and skeleton derived information. Experiments are discussed and successful segmentation results are reported.


Text Line Validation Phase Character Segmentation Segmentation Point Lower Contour 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • A. Chianese
    • 1
  • M. De Santo
    • 2
  • A. Picariello
    • 1
  1. 1.DIS Università Degli Studi di Napoli ‘Federico II’NapoliItaly
  2. 2.DIIIE Università Degli Studi di SalernoFisciano (Sa)Italy

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