- Title
- An investigation of face and fingerprint feature-fusion guidelines
- Creator
- Brown, Dane L, Bradshaw, Karen L
- Subject
- To be catalogued
- Date
- 2016
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/473751
- Identifier
- vital:77678
- Identifier
- xlink:href="https://doi.org/10.1007/978-3-319-34099-9_45"
- Description
- 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.
- Format
- computer, online resource, application/pdf, 1 online resource (14 pages), pdf
- Publisher
- SpringerLink
- Language
- English
- Relation
- 12th International Conference, BDAS 2016, Ustroń, Poland, May 31-June 3, 2016, Proceedings, Brown, D. and Bradshaw, K., 2016. An investigation of face and fingerprint feature-fusion guidelines. In Beyond Databases, Architectures and Structures. Advanced Technologies for Data Mining and Knowledge Discovery: 12th International Conference, BDAS 2016, Ustroń, Poland, May 31-June 3, 2016, Proceedings 11 (pp. 585-599). Springer International Publishing, 12th International Conference, BDAS 2016, Ustroń, Poland, May 31-June 3, 2016, Proceedings volume 11 p. 585 2016 1865-0937
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the SpringerLink Terms of Use Statement ( https://link.springer.com/termsandconditions)
- Rights
- Closed Access
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