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Oversegmentation methods for character segmentation in off-line cursive handwritten word recognition : an overview

Brodowska M.

Schedae Informaticae

2011

Vol. 20

43-65

Character segmentation (i.e. splitting the images of handwritten words into pieces corresponding to single letters) is one of the required steps in numerous off-line cursive handwritten word recognition solutions. It is also a very important step, because improperly extracted characters are usually impossible to recognize correctly with currently used methods. The most common method of character segmentation is initial oversegmentation - finding some set of potential splitting points in the graphical representation of the word and then attempting to eliminate the improper ones. This paper con- tains a list of popular approaches for generating potential splitting points and methods of verifying their correctness.