dc.contributor.author |
Brown, Dane
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|
dc.contributor.author |
Bradshaw, K
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|
dc.date.accessioned |
2017-07-28T08:53:17Z |
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dc.date.available |
2017-07-28T08:53:17Z |
|
dc.date.issued |
2016-05 |
|
dc.identifier.citation |
Brown, D. and Bradshaw, K. 2016. An investigation of face and fingerprint feature-fusion guidelines. 12th International Conference on Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery, 31 May - 3 June 2016, Ustron, Poland, p. 585-599. DOI: 10.1007/978-3-319-34099-9_45 |
en_US |
dc.identifier.isbn |
978-3-319-34099-9 |
|
dc.identifier.uri |
https://link.springer.com/chapter/10.1007/978-3-319-34099-9_45
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|
dc.identifier.uri |
DOI: 10.1007/978-3-319-34099-9_45
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/9279
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|
dc.description |
Copyright: 2016 Springer. Due to copyright restrictions, the attached pdf contains the author-accepted version of the paper. For access to the published version, kindly consult the publisher's website. |
en_US |
dc.description.abstract |
There are a lack of multi-modal biometric fusion guidelines at the feature-level. This paper investigates face and fingerprint features in the form of their strengths and weaknesses. This serves as a set of guidelines to authors that are planning face and fingerprint feature-fusion applications or aim to extend this into a general framework. The proposed guidelines were applied to the face and fingerprint to achieve a 91.11% recognition accuracy when using only a single training sample. Furthermore, an accuracy of 99.69% was achieved when using five training samples. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Springer |
en_US |
dc.relation.ispartofseries |
Worklist;17647 |
|
dc.subject |
Framework |
en_US |
dc.subject |
Face |
en_US |
dc.subject |
Fingerprint |
en_US |
dc.subject |
Feature-level |
en_US |
dc.subject |
Multi-modal biometrics |
en_US |
dc.title |
An investigation of face and fingerprint feature-fusion guidelines |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Brown, D., & Bradshaw, K. (2016). An investigation of face and fingerprint feature-fusion guidelines. Springer. http://hdl.handle.net/10204/9279 |
en_ZA |
dc.identifier.chicagocitation |
Brown, Dane, and K Bradshaw. "An investigation of face and fingerprint feature-fusion guidelines." (2016): http://hdl.handle.net/10204/9279 |
en_ZA |
dc.identifier.vancouvercitation |
Brown D, Bradshaw K, An investigation of face and fingerprint feature-fusion guidelines; Springer; 2016. http://hdl.handle.net/10204/9279 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Brown, Dane
AU - Bradshaw, K
AB - There are a lack of multi-modal biometric fusion guidelines at the feature-level. This paper investigates face and fingerprint features in the form of their strengths and weaknesses. This serves as a set of guidelines to authors that are planning face and fingerprint feature-fusion applications or aim to extend this into a general framework. The proposed guidelines were applied to the face and fingerprint to achieve a 91.11% recognition accuracy when using only a single training sample. Furthermore, an accuracy of 99.69% was achieved when using five training samples.
DA - 2016-05
DB - ResearchSpace
DP - CSIR
KW - Framework
KW - Face
KW - Fingerprint
KW - Feature-level
KW - Multi-modal biometrics
LK - https://researchspace.csir.co.za
PY - 2016
SM - 978-3-319-34099-9
T1 - An investigation of face and fingerprint feature-fusion guidelines
TI - An investigation of face and fingerprint feature-fusion guidelines
UR - http://hdl.handle.net/10204/9279
ER -
|
en_ZA |