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2011 | 20 |
Article title

Oversegmentation Methods for Character Segmentation in Off-Line Cursive Handwritten Word Recognition - An Overview

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Languages of publication
PL
Abstracts
PL
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 contains a list of popular approaches for generating potential splitting points and methods of verifying their correctness.
Publisher
Year
Volume
20
Physical description
Dates
published
2011
online
21 - 05 - 2015
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Document Type
Publication order reference
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YADDA identifier
bwmeta1.element.ojs-issn-2083-8476-year-2011-volume-20-article-2222
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