
The recognition of screen-rendered text is to our knowledge a yet unaddressed task. It has to be performed e.g. by translation tools which allow users to click on any text on the screen and give a translation. This often requires to capture a screenshot and to perform optical character recognition which is very challenging due to very small and smoothed fonts. This paper presents a method capable of recognizing smoothed and non-smoothed screen-rendered text of very small size which also works for colored fonts on inhomogeneous backgrounds.
| 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). | 20 | |
| 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). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
