Extraction of Handwritten Text from Carbon Copy Medical Form Images
Identifieur interne : 001073 ( Main/Exploration ); précédent : 001072; suivant : 001074Extraction of Handwritten Text from Carbon Copy Medical Form Images
Auteurs : Robert Milewski [États-Unis] ; Venugopal Govindaraju [États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: This paper presents a methodology for separating handwritten foreground pixels, from background pixels, in carbon copied medical forms. Comparisons between prior and proposed techniques are illustrated. This study involves the analysis of the New York State (NYS) Department of Health (DoH) Pre-Hospital Care Report (PCR) [1] which is a standard form used in New York by all Basic and Advanced Life Support pre-hospital healthcare professionals to document patient status in the emergency environment. The forms suffer from extreme carbon mesh noise, varying handwriting pressure sensitivity issues, and smudging which are further complicated by the writing environment. Extraction of handwriting from these medical forms is a vital step in automating emergency medical health surveillance systems.
Url:
DOI: 10.1007/11669487_10
Affiliations:
- États-Unis
- État de New York
- Buffalo (New York)
- Université d'État de New York, Université d'État de New York à Buffalo
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Le document en format XML
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Comparisons between prior and proposed techniques are illustrated. This study involves the analysis of the New York State (NYS) Department of Health (DoH) Pre-Hospital Care Report (PCR) [1] which is a standard form used in New York by all Basic and Advanced Life Support pre-hospital healthcare professionals to document patient status in the emergency environment. The forms suffer from extreme carbon mesh noise, varying handwriting pressure sensitivity issues, and smudging which are further complicated by the writing environment. 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