Handwriting Analysis of Pre-Hospital Care Reports

  • Authors:
  • Robert Milewski;Venu Govindaraju

  • Affiliations:
  • University at Buffalo, The State University of New York;University at Buffalo, The State University of New York

  • Venue:
  • CBMS '04 Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems
  • Year:
  • 2004

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Abstract

Emergency health care facilities lack automated medical form recognition systemsnecessary for efficient epidemiological and health surveillance analysis. The task is to extracthandwritten text from the New York State (NYS) Pre-Hospital Care Report (PCR) anddetermine its ASCII translation. Our approach hybridizes image processing and semanticlexicon pruning to compensate for the otherwise enormous lexicon size. In this paper weexpand on our IEEE CBMS 2001 paper [Automated Reading and Mining of Pre-hospital Care Reports][Medical Word Recognition Using a Computational Semantic Lexicon], which provided a conceptual overview, by probing into our recognizer design and performance measurements.