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Author (up) Helena Muñoz; Fernando Vilariño; Dimosthenis Karatzas edit  url
doi  openurl
  Title Eye-Movements During Information Extraction from Administrative Documents Type Conference Article
  Year 2019 Publication International Conference on Document Analysis and Recognition Workshops Abbreviated Journal  
  Volume Issue Pages 6-9  
  Keywords  
  Abstract A key aspect of digital mailroom processes is the extraction of relevant information from administrative documents. More often than not, the extraction process cannot be fully automated, and there is instead an important amount of manual intervention. In this work we study the human process of information extraction from invoice document images. We explore whether the gaze of human annotators during an manual information extraction process could be exploited towards reducing the manual effort and automating the process. To this end, we perform an eye-tracking experiment replicating real-life interfaces for information extraction. Through this pilot study we demonstrate that relevant areas in the document can be identified reliably through automatic fixation classification, and the obtained models generalize well to new subjects. Our findings indicate that it is in principle possible to integrate the human in the document image analysis loop, making use of the scanpath to automate the extraction process or verify extracted information.  
  Address Sydney; Australia; September 2019  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
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  Area Expedition Conference ICDARW  
  Notes DAG; 600.140; 600.121; 600.129;SIAI Approved no  
  Call Number Admin @ si @ MVK2019 Serial 3336  
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