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Abstract

Abstract.Although the internet offers a wide-spread platform for information interchange, day-to-day work in large companies still means the processing of tens of thousands of printed documents every day. This paper presents the system smartFIX which is a document analysis and understanding system deve loped by the DFKI spin-off INSIDERS. It permits the processing of documents ranging from fixed format forms to unstructured letters of any format. Apart from the architecture, the main components and system characteristics, we also show some results when applying smartFIX to medical bills and prescriptions.

Abstract. Companies order, receive, and pay for goods. Hence they continually receive and process invoices. For the most part these are printed on paper and are dealt with manually, so that each invoice after receipt involves processing costs of about 9 Euro on average. Often, human searching and typing of data into computer forms is required to transfer the information from paper into the computer, e.g. into ERP-systems, like SAP, that many companies run. This article presents the main results of our 300-page market survey of 11 suppliers of invoice reading systems (,56), which automate the transfer of invoice data to ERP-systems. For the scientific ,56 community we hope to provide the service of a better visibility of our discipline to potential investors and users.

In this paper, we discuss a new user interface, a complementary environment for the work with personal document archives, i.e. for document filing and retrieval. We introduce our implementation of a spatial medium for document interaction, explorative search and active navigation, which exploits and further stimulates the human strengths of visual information processing. Our system achieves a high degree of immersion of the user, so that he/she forgets the artificiality of his/her environment. This is done by means of a tripartite ensemble of allowing users to interact naturally with gestures and postures (as an option gestures and postures can be individually taught to the system by users), exploiting 3D technology, and supporting the user to maintain structures he/she discovers, as well as provide computer calculated semantic structures. Our ongoing evaluation shows that even non-expert users can efficiently work with the information in a document collection, and have fun.