Binarization and cleanup of handwritten text from carbon copy medical form images

被引：13

作者：

Milewski, Robert ^{[1
]}

Govindaraju, Venu ^{[1
]}

机构：

[1] SUNY Buffalo, Ctr Excellence Document Anal & Recognit, Amherst, NY 14228 USA

来源：

PATTERN RECOGNITION | 2008年 / 41卷 / 04期

基金：

美国国家科学基金会;

关键词：

Health care - Image analysis - Pixels - Sensitivity analysis;

D O I：

10.1016/j.patcog.2007.08.018

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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) [Western Regional Emergency Medical Services, Bureau of Emergency Medical Services, New York State (NYS) Department of Health (DoH), Prehospital Care Report v4.] which is a standard form used in New York by all Basic and Advanced Life Support pre-hospital health care 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. (c) 2007 Elsevier Ltd. All rights reserved.

引用

页码：1308 / 1315

页数：8

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