A multiple classifier approach for the recognition of screen-rendered text
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Content and hierarchy in pixel-based methods for reverse engineering interface structure
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Associating the visual representation of user interfaces with their internal structures and metadata
Proceedings of the 24th annual ACM symposium on User interface software and technology
Pattern Recognition Letters
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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.