An efficient technique for human verification using finger stripes geometry
This study attempts to improve the performance of person verification by finger stripes geometry, which is an efficient, simple, fast, easy to handle and cost effective compared with other biometric human verification technique. Finger stripe geometry is a new biometric type in verification process....
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Online Access: | http://irep.iium.edu.my/2740/ http://irep.iium.edu.my/2740/ http://irep.iium.edu.my/2740/1/445-449.pdf |
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iium-27402019-11-21T03:05:29Z http://irep.iium.edu.my/2740/ An efficient technique for human verification using finger stripes geometry Rahman, Md. Arafatur Azad, Md. Saiful Anwar, Farhat TK5101 Telecommunication. Including telegraphy, radio, radar, television This study attempts to improve the performance of person verification by finger stripes geometry, which is an efficient, simple, fast, easy to handle and cost effective compared with other biometric human verification technique. Finger stripe geometry is a new biometric type in verification process. This finger stripe based verification consists of two main attributes, feature extraction by image processing and feature learning by ANN (Artificial Neural Network). The Distance Based Nearest Neighbor Algorithm, which shows greater accuracy than NN is also applied here. Using this approach, experimental result provides, Total Success Rate (TSR) is 98.79%, False Acceptance Rate (FAR) is 3.21% and False Rejection Rate (FRR) is 0%. Since the proposed method requires very small computational time, the practical implementation requirement for a large number of person verification is possible. medwell journals 2007 Article PeerReviewed application/pdf en http://irep.iium.edu.my/2740/1/445-449.pdf Rahman, Md. Arafatur and Azad, Md. Saiful and Anwar, Farhat (2007) An efficient technique for human verification using finger stripes geometry. International Journal of Soft Computing, 2 (3). pp. 445-449. ISSN 1816-9503 http://www.medwelljournals.com/abstract/?doi=ijscomp.2007.445.449 |
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International Islamic University Malaysia |
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Online Access |
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English |
topic |
TK5101 Telecommunication. Including telegraphy, radio, radar, television |
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TK5101 Telecommunication. Including telegraphy, radio, radar, television Rahman, Md. Arafatur Azad, Md. Saiful Anwar, Farhat An efficient technique for human verification using finger stripes geometry |
description |
This study attempts to improve the performance of person verification by finger stripes geometry, which is an efficient, simple, fast, easy to handle and cost effective compared with other biometric human verification technique. Finger stripe geometry is a new biometric type in verification process. This finger stripe based verification consists of two main attributes, feature extraction by image processing and feature learning by ANN (Artificial Neural Network). The Distance Based Nearest Neighbor Algorithm, which shows greater accuracy than NN is also applied here. Using this approach, experimental result provides, Total Success Rate (TSR) is 98.79%, False Acceptance Rate (FAR) is 3.21% and False Rejection Rate (FRR) is 0%. Since the proposed method requires very small computational time, the practical implementation requirement for a large number of person verification is possible. |
format |
Article |
author |
Rahman, Md. Arafatur Azad, Md. Saiful Anwar, Farhat |
author_facet |
Rahman, Md. Arafatur Azad, Md. Saiful Anwar, Farhat |
author_sort |
Rahman, Md. Arafatur |
title |
An efficient technique for human verification using finger stripes geometry |
title_short |
An efficient technique for human verification using finger stripes geometry |
title_full |
An efficient technique for human verification using finger stripes geometry |
title_fullStr |
An efficient technique for human verification using finger stripes geometry |
title_full_unstemmed |
An efficient technique for human verification using finger stripes geometry |
title_sort |
efficient technique for human verification using finger stripes geometry |
publisher |
medwell journals |
publishDate |
2007 |
url |
http://irep.iium.edu.my/2740/ http://irep.iium.edu.my/2740/ http://irep.iium.edu.my/2740/1/445-449.pdf |
first_indexed |
2023-09-18T20:10:21Z |
last_indexed |
2023-09-18T20:10:21Z |
_version_ |
1777407436529860608 |