A digital signature system based on hand geometry - Survey

 In recent years large number of emerging automated applications faces the need to have recognition abilities of persons using their own self biometrics, before they can access the applications services. Nowadays, Biometric recognition is used, it can be used as automatic identification or automati...

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Main Authors: Mays M. Taher, Dr. Loay E. George
Format: Article
Language:English
Published: College of Computer and Information Technology – University of Wasit, Iraq 2022-03-01
Series:Wasit Journal of Computer and Mathematics Science
Subjects:
Online Access:https://wjcm.uowasit.edu.iq/index.php/wjcm/article/view/18
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author Mays M. Taher
Dr. Loay E. George
author_facet Mays M. Taher
Dr. Loay E. George
author_sort Mays M. Taher
collection DOAJ
description  In recent years large number of emerging automated applications faces the need to have recognition abilities of persons using their own self biometrics, before they can access the applications services. Nowadays, Biometric recognition is used, it can be used as automatic identification or automatic verification of persons based on their physiological or behavioral characteristics. There are no perfect biometric measurements; each biometry has its advantages and limitations. Each biometry requires specific vital identity to answer the identification or verification question. The suitability of a particular biometry for a particular application depends on many factors. Hand geometry/shape is a very simple biometric technology that uses the measurements of human hand to verify the identity of the individuals. The measurements include the distance between certain mark points, shape and width of fingers and size of palm. The biometric systems that employing hand geometry become widely used since they have high public acceptance. This article aims to survey several articles found in literature about hand based biometric system, and to compare different methods of biometric recognition that based on hand geometry. 
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spelling doaj.art-b6df300c693d4336b4a2a46a8c120d192024-04-21T18:58:27ZengCollege of Computer and Information Technology – University of Wasit, IraqWasit Journal of Computer and Mathematics Science2788-58792788-58872022-03-011110.31185/wjcm.Vol1.Iss1.18A digital signature system based on hand geometry - SurveyMays M. Taher0Dr. Loay E. George1Informatics Institute for Postgraduate Studies/ Iraqi Commission for Computers & Informatics (IIPS/ICCI)University of Information Technology And Communication  In recent years large number of emerging automated applications faces the need to have recognition abilities of persons using their own self biometrics, before they can access the applications services. Nowadays, Biometric recognition is used, it can be used as automatic identification or automatic verification of persons based on their physiological or behavioral characteristics. There are no perfect biometric measurements; each biometry has its advantages and limitations. Each biometry requires specific vital identity to answer the identification or verification question. The suitability of a particular biometry for a particular application depends on many factors. Hand geometry/shape is a very simple biometric technology that uses the measurements of human hand to verify the identity of the individuals. The measurements include the distance between certain mark points, shape and width of fingers and size of palm. The biometric systems that employing hand geometry become widely used since they have high public acceptance. This article aims to survey several articles found in literature about hand based biometric system, and to compare different methods of biometric recognition that based on hand geometry.  https://wjcm.uowasit.edu.iq/index.php/wjcm/article/view/18Hand geometry, Biometric, Pattern recognition, Artificial neural network
spellingShingle Mays M. Taher
Dr. Loay E. George
A digital signature system based on hand geometry - Survey
Wasit Journal of Computer and Mathematics Science
Hand geometry, Biometric, Pattern recognition, Artificial neural network
title A digital signature system based on hand geometry - Survey
title_full A digital signature system based on hand geometry - Survey
title_fullStr A digital signature system based on hand geometry - Survey
title_full_unstemmed A digital signature system based on hand geometry - Survey
title_short A digital signature system based on hand geometry - Survey
title_sort digital signature system based on hand geometry survey
topic Hand geometry, Biometric, Pattern recognition, Artificial neural network
url https://wjcm.uowasit.edu.iq/index.php/wjcm/article/view/18
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