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http://dx.doi.org/10.9723/jksiis.2017.22.2.035

Development of Automatic Medical Questionnaire Recognition  

Kwon, Kyung Su (동서대학교 디지털콘텐츠학부)
Kim, Hang-Joon (경북대학교 IT대학 컴퓨터학부)
Park, Se-Hyun (대구대학교 정보통신공학부)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.22, no.2, 2017 , pp. 35-41 More about this Journal
Abstract
In This Paper, We Propose the Development of a Medical Questionnaire Recognition System using Vision Technology. The Proposed System is Able to Accurately Recognize and Effectively Process a Large Number of Questionnaires used in Community Health Surveys in the Medical and Health Fields. The System Consists of Questionnaire Scanning, Answer Recognition and Error Data Processing, Result Data Verification, Image Storage and DB Construction, and Analysis of Questionnaire Results. Unlike Existing Systems, This System is Free from the Form of Questionnaires used, and Enables Accurate Recognition by Processing Various Markings and Erroneous Markings. Experimental Results Show that the Proposed System has 98.9% Recognition rate.
Keywords
Questionnaire Recognition; High-speed Scanning; Image Analysis; ADF;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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