- Title
- Efficient Biometric Access Control for Larger Scale Populations
- Creator
- Brown, Dane L, Bradshaw, Karen L
- Subject
- To be catalogued
- Date
- 2018
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/465667
- Identifier
- vital:76630
- Identifier
- xlink:href="https://www.researchgate.net/profile/Dane-Brown-2/publication/335378829_Efficient_Biometric_Access_Control_for_Larger_Scale_Populations/links/5d61159ea6fdccc32ccd2c8a/Efficient-Biometric-Access-Control-for-Larger-Scale-Populations.pdf"
- Description
- Biometric applications and databases are growing at an alarming rate. Processing large or complex biometric data induces longer wait times that can limit usability during application. This paper focuses on increasing the processing speed of biometric data, and calls for a parallel approach to data processing that is beyond the capability of a central processing unit (CPU). The graphical processing unit (GPU) is effectively utilized with compute unified device architecture (CUDA), and results in at least triple the processing speed when compared with a previously presented accurate and secure multimodal biometric system. When saturating the CPU-only implementation with more individuals than the available thread count, the GPU-assisted implementation outperforms it exponentially. The GPU-assisted implementation is also validated to have the same accuracy of the original system, and thus shows promising advancements in both accuracy and processing speed in the challenging big data world.
- Format
- computer, online resource, application/pdf, 1 online resource (5 pages), pdf
- Publisher
- Southern Africa Telecommunication Networks and Applications Conference (SA TNAC)
- Language
- English
- Relation
- Southern Africa Telecommunication Networks and Applications Conference (SA TNAC), Brown, D. and Bradshaw, K., Efficient Biometric Access Control for Larger Scale Populations. Southern Africa Telecommunication Networks and Applications Conference (SA TNAC), Southern Africa Telecommunication Networks and Applications Conference (SA TNAC) 2018
- 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: 49
- Visitors: 49
- Downloads: 1
Collections
Brown, Dane A (Dr)
RU Department of Computer Science
Bradshaw, Karen Lee (Assoc Prof)
SDG 09. Industry, Innovation and Infrastructure
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Efficient Biometric Access Control for Larger Scale Populations.pdf | 1 MB | Adobe Acrobat PDF | View Details Download |