Extraction of handwritten text from carbon copy medical form images

Robert Milewski; Venu Govindaraju

doi:10.1007/11669487_10

Extraction of handwritten text from carbon copy medical form images

Robert Milewski
, Venu Govindaraju

Research and Economic Development

SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

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.

Original language	English
Title of host publication	Document Analysis Systems VII - 7th International Workshop, DAS 2006, Proceedings
Pages	106-116
Number of pages	11
DOIs	https://doi.org/10.1007/11669487_10
State	Published - 2006
Event	7th International Workshop on Document Analysis Systems, DAS 2006 - Nelson, New Zealand Duration: Feb 13 2006 → Feb 15 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3872 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Workshop on Document Analysis Systems, DAS 2006
Country/Territory	New Zealand
City	Nelson
Period	02/13/06 → 02/15/06

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10.1007/11669487_10

Cite this

Milewski, R., & Govindaraju, V. (2006). Extraction of handwritten text from carbon copy medical form images. In Document Analysis Systems VII - 7th International Workshop, DAS 2006, Proceedings (pp. 106-116). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3872 LNCS). https://doi.org/10.1007/11669487_10

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title = "Extraction of handwritten text from carbon copy medical form images",

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.",

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Milewski, R & Govindaraju, V 2006, Extraction of handwritten text from carbon copy medical form images. in Document Analysis Systems VII - 7th International Workshop, DAS 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3872 LNCS, pp. 106-116, 7th International Workshop on Document Analysis Systems, DAS 2006, Nelson, New Zealand, 02/13/06. https://doi.org/10.1007/11669487_10

Extraction of handwritten text from carbon copy medical form images. / Milewski, Robert; Govindaraju, Venu.
Document Analysis Systems VII - 7th International Workshop, DAS 2006, Proceedings. 2006. p. 106-116 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3872 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Extraction of handwritten text from carbon copy medical form images

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