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dc.contributor.author Brown, Dane
dc.contributor.author Bradshaw, K
dc.date.accessioned 2017-07-28T08:53:17Z
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
dc.identifier.uri DOI: 10.1007/978-3-319-34099-9_45
dc.identifier.uri http://hdl.handle.net/10204/9279
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 Presentation en_US


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