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Recognition of Screen-Rendered Text

Authors: Steffen Wachenfeld; Hans-Ulrich Klein; Xiaoyi Jiang 0001;

Recognition of Screen-Rendered Text

Abstract

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.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Average
Top 10%
Top 10%
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