Title :
Handwriting analysis of pre-hospital care reports
Author :
Milewski, Robert ; Govindaraju, Venu
Author_Institution :
Dept. of Comput. Sci. & Eng., New York State Univ., Amherst, NY, USA
Abstract :
Emergency health care facilities lack automated medical form recognition systems necessary for efficient epidemiological and health surveillance analysis. The task is to extract handwritten text from the New York State (NYS) Pre-Hospital Care Report (PCR) and determine its ASCII translation. Our approach hybridizes image processing and semantic lexicon pruning to compensate for the otherwise enormous lexicon size. In this paper we expand on our IEEE CBMS 2001 paper, which provided a conceptual overview, by probing into our recognizer design and performance measurements.
Keywords :
handwriting recognition; image processing; medical information systems; records management; ASCII translation; automated medical form recognition systems; handwriting analysis; image processing; prehospital care reports; semantic lexicon pruning; Biomedical engineering; Biomedical imaging; Computer displays; Computer science; Handwriting recognition; Image segmentation; Measurement; Medical services; Text analysis; Venus;
Conference_Titel :
Computer-Based Medical Systems, 2004. CBMS 2004. Proceedings. 17th IEEE Symposium on
Print_ISBN :
0-7695-2104-5
DOI :
10.1109/CBMS.2004.1311752
