Segmentation of numeric strings

Authors:
  • GDG. Dimauro
    G. Dimauro
  • SIS. Impedovo
    S. Impedovo
  • GPG. Pirlo
    G. Pirlo

Abstract
This paper presents a complete procedure for the segmentation of handwritten numeric strings. The procedure uses an hypothesis-then-verification strategy in which multiple segmentation algorithms based on contiguous row partition work sequentially on the binary image until an acceptable segmentation is obtained. At this purpose a new set of algorithms simulating a "drop falling" process is introduced. The experimental tests demonstrate the effectiveness of the new algorithms in obtaining high-confidence segmentation hypotheses.

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