Surgery Agreement Signature Authentication System for Mobile Health Care

Currently, the use of biometric systems is increasing following the increase in the non-face-to-face security transactions in the Health Care sector, where smart devices are extensively used. Additionally, hospital patients or their guardians had to sign every medical/surgery consent form with a pen...

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Bibliographic Details
Main Author: Jun-Ho Huh
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/9/6/890
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spelling doaj-f619f6030e1345edb34282b14b9adf682020-11-25T03:17:20ZengMDPI AGElectronics2079-92922020-05-01989089010.3390/electronics9060890Surgery Agreement Signature Authentication System for Mobile Health CareJun-Ho Huh0Department of Data Informatics, Korea Maritime and Ocean University, Busan 49112, KoreaCurrently, the use of biometric systems is increasing following the increase in the non-face-to-face security transactions in the Health Care sector, where smart devices are extensively used. Additionally, hospital patients or their guardians had to sign every medical/surgery consent form with a pen. Currently, hospitals are attempting to digitalize the form to avoid its loss or delay to the operating room. Thus, this study proposes a surgery consent signature authentication system for the mobile health care system. Along with the vein or the fingerprint recognition technology, the smart electronic signature recognition technology is regarded as a new type of security solution for Mobile Health Care, which is a compound of Health Care and technology, or a smart contents and display technology. Thus, this study proposes a surgery agreement signature authentication system for Mobile Health Care while using the techniques, such as database segment units comparison in the cloud, Bag of Word, etc. The proposed system was implemented with Java language and developed in a way the reference signature stored in advance in a cloud database to be compared with the signature currently entered. For the comparison, the segment matching, spatial pyramid matching, and boundary matching techniques were used in addition to the Dynamic Time Warping (DTW) algorithm. Additionally, the system has been made lighter than the existing experimental products, so that it is easier to embed the system into a smart phone, tablet, or others. The Test Bed experiment result showed that the system operated flexibly.https://www.mdpi.com/2079-9292/9/6/890signaturehandwritten signaturesurgery agreement signatureauthenticationmobile health careJava Android
collection DOAJ
language English
format Article
sources DOAJ
author Jun-Ho Huh
spellingShingle Jun-Ho Huh
Surgery Agreement Signature Authentication System for Mobile Health Care
Electronics
signature
handwritten signature
surgery agreement signature
authentication
mobile health care
Java Android
author_facet Jun-Ho Huh
author_sort Jun-Ho Huh
title Surgery Agreement Signature Authentication System for Mobile Health Care
title_short Surgery Agreement Signature Authentication System for Mobile Health Care
title_full Surgery Agreement Signature Authentication System for Mobile Health Care
title_fullStr Surgery Agreement Signature Authentication System for Mobile Health Care
title_full_unstemmed Surgery Agreement Signature Authentication System for Mobile Health Care
title_sort surgery agreement signature authentication system for mobile health care
publisher MDPI AG
series Electronics
issn 2079-9292
publishDate 2020-05-01
description Currently, the use of biometric systems is increasing following the increase in the non-face-to-face security transactions in the Health Care sector, where smart devices are extensively used. Additionally, hospital patients or their guardians had to sign every medical/surgery consent form with a pen. Currently, hospitals are attempting to digitalize the form to avoid its loss or delay to the operating room. Thus, this study proposes a surgery consent signature authentication system for the mobile health care system. Along with the vein or the fingerprint recognition technology, the smart electronic signature recognition technology is regarded as a new type of security solution for Mobile Health Care, which is a compound of Health Care and technology, or a smart contents and display technology. Thus, this study proposes a surgery agreement signature authentication system for Mobile Health Care while using the techniques, such as database segment units comparison in the cloud, Bag of Word, etc. The proposed system was implemented with Java language and developed in a way the reference signature stored in advance in a cloud database to be compared with the signature currently entered. For the comparison, the segment matching, spatial pyramid matching, and boundary matching techniques were used in addition to the Dynamic Time Warping (DTW) algorithm. Additionally, the system has been made lighter than the existing experimental products, so that it is easier to embed the system into a smart phone, tablet, or others. The Test Bed experiment result showed that the system operated flexibly.
topic signature
handwritten signature
surgery agreement signature
authentication
mobile health care
Java Android
url https://www.mdpi.com/2079-9292/9/6/890
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