- Title
- A dynamically weighted multi-modal biometric security system
- Creator
- Brown, Dane L
- Creator
- Bradshaw, Karen L
- Subject
- To be catalogued
- Date Issued
- 2016
- Date
- 2016
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/473684
- Identifier
- vital:77672
- Identifier
- xlink:href="https://www.researchgate.net/publication/315839228_A_Dynamically_Weighted_Multi-Modal_Biometric_Security_System"
- Description
- The face, fingerprint and palmprint feature vectors are automatically extracted and dynamically selected for fusion at the feature-level, toward an improved human identification accuracy. The feature-level has a higher potential accuracy than the match score-level. However, leveraging this potential requires a new approach. This work demonstrates a novel dynamic weighting algorithm for improved image-based biometric feature-fusion. A comparison is performed on uni-modal, bi-modal, tri-modal and proposed dynamic approaches. The proposed dynamic approach yields a high genuine acceptance rate of 99.25% genuine acceptance rate at a false acceptance rate of 1% on challenging datasets and big impostor datasets.
- Format
- computer
- Format
- online resource
- Format
- application/pdf
- Format
- 1 online resource (5 pages)
- Format
- Publisher
- Southern Africa Telecommunication Networks and Applications Conference (SA TNAC)
- Language
- English
- Relation
- Southern Africa Telecommunication Networks and Applications Conference
- Relation
- Brown, D. and Bradshaw, K., 2016. A dynamically weighted multi-modal biometric security system. Southern Africa Telecommunication Networks and Applications Conference (SA TNAC)
- Relation
- Southern Africa Telecommunication Networks and Applications Conference 2016
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of Southern Africa Telecommunication Networks and Applications Conference (SA TNAC) Statement (https://www.satnac.org.za/)
- Rights
- Open Access
- Hits: 8
- Visitors: 10
- Downloads: 3
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 | A dynamically weighted multi-modal biometric security system.pdf | 228 KB | Adobe Acrobat PDF | View Details Download |