A Lexicon Reduction Strategy in the Context of Handwritten Medical Forms
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Extraction of handwritten text from carbon copy medical form images
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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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.