
The work describes a new algorithm for segmentation of handwritten cursive words, based on the following two hypotheses: 1) natural segmentation points (SPs) exist corresponding to disconnected characters; and 2) the physical SPs between connected characters are located in ligatures. The morphological operations of opening and closing are utilized in the determination of word ligatures. A genetic algorithm was employed in the search for the optimum structuring element to determine ligatures.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
