On the fly biometric identification system using hand‐geometry
Abstract Biometric‐enabled systems have become highly desirable to authenticate and identify people due to the proliferation of mobile technologies. Their application in general settings, such as automated border gates using ePassports or at entrances to buildings or rooms, has become popular as wel...
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| Format: | Article |
| Language: | English |
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Wiley
2021-05-01
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| Series: | IET Biometrics |
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| Online Access: | https://doi.org/10.1049/bme2.12024 |
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| author | Michal Dvořák Martin Drahanský Waleed H. Abdulla |
| author_facet | Michal Dvořák Martin Drahanský Waleed H. Abdulla |
| author_sort | Michal Dvořák |
| collection | DOAJ |
| description | Abstract Biometric‐enabled systems have become highly desirable to authenticate and identify people due to the proliferation of mobile technologies. Their application in general settings, such as automated border gates using ePassports or at entrances to buildings or rooms, has become popular as well. Regrettably, where current biometry scanning technologies are reliably suitable for single‐user devices, when hundreds or thousands of people need to be processed, shortcomings emerge. The requirement of physically coming to a halt during scanning poses a limitation to the throughput of the people processed. Additionally, since most of these systems require physical contact, hygienic concerns need to be considered, especially with contagious pandemics such as COVID‐19. In this article, we present a solution to the issue of limited throughput and hygienic concerns by developing a biometric system that allows identification on the fly. Using the experimental setup of our design, we demonstrate that hand‐related biometrics can be acquired on the fly. Furthermore, using a random decision forest classifier and our house‐collected database containing over 560 unique images, we inaugurated that the system is a viable solution for biometric identification on the fly. |
| format | Article |
| id | doaj-art-ce3024a6e19c47fd8cf85d90d26a0bb0 |
| institution | Kabale University |
| issn | 2047-4938 2047-4946 |
| language | English |
| publishDate | 2021-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Biometrics |
| spelling | doaj-art-ce3024a6e19c47fd8cf85d90d26a0bb02025-02-03T01:29:43ZengWileyIET Biometrics2047-49382047-49462021-05-0110331532510.1049/bme2.12024On the fly biometric identification system using hand‐geometryMichal Dvořák0Martin Drahanský1Waleed H. Abdulla2Faculty of Information Technology Centre of Excellence IT4Innovations Brno University of Technology Brno CzechiaFaculty of Information Technology Centre of Excellence IT4Innovations Brno University of Technology Brno CzechiaFaculty of Engineering Department of Electrical, Computer and Software Engineering The University of Auckland Auckland New ZealandAbstract Biometric‐enabled systems have become highly desirable to authenticate and identify people due to the proliferation of mobile technologies. Their application in general settings, such as automated border gates using ePassports or at entrances to buildings or rooms, has become popular as well. Regrettably, where current biometry scanning technologies are reliably suitable for single‐user devices, when hundreds or thousands of people need to be processed, shortcomings emerge. The requirement of physically coming to a halt during scanning poses a limitation to the throughput of the people processed. Additionally, since most of these systems require physical contact, hygienic concerns need to be considered, especially with contagious pandemics such as COVID‐19. In this article, we present a solution to the issue of limited throughput and hygienic concerns by developing a biometric system that allows identification on the fly. Using the experimental setup of our design, we demonstrate that hand‐related biometrics can be acquired on the fly. Furthermore, using a random decision forest classifier and our house‐collected database containing over 560 unique images, we inaugurated that the system is a viable solution for biometric identification on the fly.https://doi.org/10.1049/bme2.12024biometrics (access control)feature extraction |
| spellingShingle | Michal Dvořák Martin Drahanský Waleed H. Abdulla On the fly biometric identification system using hand‐geometry IET Biometrics biometrics (access control) feature extraction |
| title | On the fly biometric identification system using hand‐geometry |
| title_full | On the fly biometric identification system using hand‐geometry |
| title_fullStr | On the fly biometric identification system using hand‐geometry |
| title_full_unstemmed | On the fly biometric identification system using hand‐geometry |
| title_short | On the fly biometric identification system using hand‐geometry |
| title_sort | on the fly biometric identification system using hand geometry |
| topic | biometrics (access control) feature extraction |
| url | https://doi.org/10.1049/bme2.12024 |
| work_keys_str_mv | AT michaldvorak ontheflybiometricidentificationsystemusinghandgeometry AT martindrahansky ontheflybiometricidentificationsystemusinghandgeometry AT waleedhabdulla ontheflybiometricidentificationsystemusinghandgeometry |