Information extraction efficiency of business documents captured with smartphones and tablets

Authors:
Daniel Esser;Klemens Muthmann;Daniel Schuster
Affiliations:
Dresden University of Technology, Dresden, Germany;Dresden University of Technology, Dresden, Germany;Dresden University of Technology, Dresden, Germany
Venue:
Proceedings of the 2013 ACM symposium on Document engineering
Year:
2013

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Abstract

Businesses and large organizations currently prefer scanners to incorporate paper documents into their electronic document archives. While cameras integrated into mobile devices such as smartphones and tablets are commonly available, it is still unclear how using a mobile device for document capture influences document content recognition. This is especially important for information extraction carried out on documents captured in a mobile scenario. Therefore this paper presents a set of experiments to compare automatic index data extraction from business documents in a static and in a mobile case. The paper shows which decline in extraction one can expect, explains the reasons and gives a short overview over possible solutions.