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dc.contributor.author Brown, Dane
dc.contributor.author Bradshaw, K
dc.date.accessioned 2017-06-07T08:02:32Z
dc.date.available 2017-06-07T08:02:32Z
dc.date.issued 2016-09
dc.identifier.citation Brown, D. and Bradshaw, K. 2016. Extended feature-fusion guidelines to improve image-based multi-modal biometrics. Annual Conference of the South African Institute of Computer Scientists and Information Technologists (SAICSIT), 26-28 September 2016, Johannesburg, South Africa. DOI: http://dx.doi.org/10.1145/2987491.2987512 en_US
dc.identifier.isbn 978-1-4503-4805-8
dc.identifier.uri DOI: http://dx.doi.org/10.1145/2987491.2987512
dc.identifier.uri http://dl.acm.org/citation.cfm?id=2987512
dc.identifier.uri http://www.cs.uwc.ac.za/~dbrown/5.pdf
dc.identifier.uri http://hdl.handle.net/10204/9238
dc.description Annual Conference of the South African Institute of Computer Scientists and Information Technologists (SAICSIT), 26-28 September 2016, Johannesburg, South Africa. 2016 Copyright held by the owner/author(s). en_US
dc.description.abstract The feature-level, unlike the match score-level, lacks multi-modal fusion guidelines. This work demonstrates a practical approach for improved image-based biometric feature-fusion. The approach extracts and combines the face, fingerprint and palmprint at the feature-level for improved human identification accuracy. Feature-fusion guidelines, proposed in recent work, are extended by adding the palmprint modality and the support vector machine classifier. Guidelines take the form of strengths and weaknesses as observed in the applied feature processing modules during preliminary experiments. The guidelines are used to implement an effective biometric fusion system at the feature-level to reduce the equal error rate on the SDUMLA and IITD datasets, using a novel feature-fusion methodology. en_US
dc.language.iso en en_US
dc.publisher ACM Digital Library en_US
dc.relation.ispartofseries Worklist;18210
dc.subject Multi-modal biometrics en_US
dc.subject Feature-level fusion en_US
dc.subject Fingerprints en_US
dc.subject Palmprints en_US
dc.subject Image processing en_US
dc.subject Computing methodologies en_US
dc.subject Biometrics en_US
dc.title Extended feature-fusion guidelines to improve image-based multi-modal biometrics en_US
dc.type Presentation en_US


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