- Title
- Extended feature-fusion guidelines to improve image-based multi-modal biometrics
- Creator
- Brown, Dane L, Bradshaw, Karen L
- Subject
- To be catalogued
- Date
- 2016
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/473796
- Identifier
- vital:77682
- Identifier
- xlink:href="https://doi.org/10.1145/2987491.2987512"
- Description
- 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.
- Format
- computer, online resource, application/pdf, 1 online resource (9 pages), pdf
- Publisher
- ACM Digital Library
- Language
- English
- Relation
- Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists, Brown, D. and Bradshaw, K., 2016, September. Extended feature-fusion guidelines to improve image-based multi-modal biometrics. In Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists (pp. 1-9), Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists p. 1 2016 978-1-4503-4805-8
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the ACM Digital Library Statement (https://libraries.acm.org/digital-library/policies#anchor3)
- Rights
- Closed Access
- Hits: 9
- Visitors: 9
- Downloads: 1
Collections
Brown, Dane Lesley (Associate Prof)
SDG 09. Industry, Innovation and Infrastructure
RU Department of Computer Science
Bradshaw, Karen Lee (Assoc Prof)
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Extended feature-fusion guidelines to improve image-based multi-modal biometrics.pdf | 777 KB | Adobe Acrobat PDF | View Details Download |