Recognition of written cues system for users of general paper media

Abstract

This paper proposes a system for users of “general paper media (newspaper, books, publications, etc.)” using recognition of written cues (made by handwritten entries) and performing digital processing. Users are able to use this system by a smartphone and on paper-media to save a favorite paragraph or image on the paper, illustrate data associations, and search for English translations, all the while being able to use the paper-media in a natural way. Moreover, users are able to browse the interaction logs from both the paper-media and smartphone. Experiments to evaluate the performance of this system shows the high recognition accuracy, and high discrimination accuracy depending on written cues.