dc.contributor.author |
Baruni, Kedimotse P
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dc.contributor.author |
Nair, Kishor K
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|
dc.contributor.author |
Ratsoma, Mahlatse S
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|
dc.date.accessioned |
2023-04-06T12:05:45Z |
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dc.date.available |
2023-04-06T12:05:45Z |
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dc.date.issued |
2018-08 |
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dc.identifier.citation |
Baruni, K.P., Nair, K.K. & Ratsoma, M.S. 2018. Finger code matching algorithm using circular tessellation. http://hdl.handle.net/10204/12721 . |
en_ZA |
dc.identifier.isbn |
978-1-5386-3060-0 |
|
dc.identifier.isbn |
978-1-5386-3061-7 |
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dc.identifier.uri |
DOI: 10.1109/ICABCD.2018.8465447
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|
dc.identifier.uri |
http://hdl.handle.net/10204/12721
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dc.description.abstract |
Due to the rising concern of data security and privacy, fingerprint recognition has been used for identity verification. This paper presents a minutiae-based finger code matching algorithm for identity verification. It describes the effect of using different sizes circular neighborhood minutiae tessellation to generate a finger code for identity verification using a fingerprint. The analysis of how the matching accuracy is affected using different sizes of circular neighborhood minutiae tessellations is described. A minutiae-based matching algorithm using multiple reference minutiae to generate a finger code is presented. The proposed finger code matching algorithm offers the advantage of matching speed due to the usage of binary codes and it can also be implemented on embedded platforms such as smart cards. The finger code matching algorithm obtained the highest matching accuracy of 7.03% Equal Error Rate (EER) using database DB1-b of Fingerprint Verification Competition 2002 (FVC2002). |
en_US |
dc.format |
Abstract |
en_US |
dc.language.iso |
en |
en_US |
dc.relation.uri |
https://ieeexplore.ieee.org/document/8465447/ |
en_US |
dc.source |
2018 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD), Durban, South Africa, 6-7 August 2018 |
en_US |
dc.subject |
Biometrics |
en_US |
dc.subject |
Circular tessellation |
en_US |
dc.subject |
Fingerprint |
en_US |
dc.subject |
Finger codes |
en_US |
dc.subject |
Minutiae |
en_US |
dc.title |
Finger code matching algorithm using circular tessellation |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.description.pages |
184-188 |
en_US |
dc.description.note |
©2018 IEEE. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website: https://ieeexplore.ieee.org/document/8465447/ |
en_US |
dc.description.cluster |
Modelling and Digital Science |
en_US |
dc.description.impactarea |
Information Security |
en_US |
dc.description.impactarea |
Digital Intelligence |
en_US |
dc.identifier.apacitation |
Baruni, K. P., Nair, K. K., & Ratsoma, M. S. (2018). Finger code matching algorithm using circular tessellation. http://hdl.handle.net/10204/12721 |
en_ZA |
dc.identifier.chicagocitation |
Baruni, Kedimotse P, Kishor K Nair, and Mahlatse S Ratsoma. "Finger code matching algorithm using circular tessellation." <i>2018 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD), Durban, South Africa, 6-7 August 2018</i> (2018): http://hdl.handle.net/10204/12721 |
en_ZA |
dc.identifier.vancouvercitation |
Baruni KP, Nair KK, Ratsoma MS, Finger code matching algorithm using circular tessellation; 2018. http://hdl.handle.net/10204/12721 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Baruni, Kedimotse P
AU - Nair, Kishor K
AU - Ratsoma, Mahlatse S
AB - Due to the rising concern of data security and privacy, fingerprint recognition has been used for identity verification. This paper presents a minutiae-based finger code matching algorithm for identity verification. It describes the effect of using different sizes circular neighborhood minutiae tessellation to generate a finger code for identity verification using a fingerprint. The analysis of how the matching accuracy is affected using different sizes of circular neighborhood minutiae tessellations is described. A minutiae-based matching algorithm using multiple reference minutiae to generate a finger code is presented. The proposed finger code matching algorithm offers the advantage of matching speed due to the usage of binary codes and it can also be implemented on embedded platforms such as smart cards. The finger code matching algorithm obtained the highest matching accuracy of 7.03% Equal Error Rate (EER) using database DB1-b of Fingerprint Verification Competition 2002 (FVC2002).
DA - 2018-08
DB - ResearchSpace
DP - CSIR
J1 - 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD), Durban, South Africa, 6-7 August 2018
KW - Biometrics
KW - Circular tessellation
KW - Fingerprint
KW - Finger codes
KW - Minutiae
LK - https://researchspace.csir.co.za
PY - 2018
SM - 978-1-5386-3060-0
SM - 978-1-5386-3061-7
T1 - Finger code matching algorithm using circular tessellation
TI - Finger code matching algorithm using circular tessellation
UR - http://hdl.handle.net/10204/12721
ER -
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en_ZA |
dc.identifier.worklist |
21355 |
en_US |