dc.contributor.author |
Mlambo, CS
|
|
dc.contributor.author |
Moolla, Yaseen
|
|
dc.date.accessioned |
2016-07-11T10:44:35Z |
|
dc.date.available |
2016-07-11T10:44:35Z |
|
dc.date.issued |
2015-11 |
|
dc.identifier.citation |
Mlambo, C.S. and Moolla, Y. 2015. Complexity and distortion analysis on methods for unrolling 3D to 2D fingerprints. The 11th International Conference on Signal Image Technology & Internet Based Systems, 23-27 November 2015,Bangkok, Thailand. |
en_US |
dc.identifier.uri |
10.1109/SITIS.2015.53
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/8615
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|
dc.description |
The 11th International Conference on Signal Image Technology & Internet Based Systems, 23-27 November 2015,Bangkok, Thailand.Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website. |
en_US |
dc.description.abstract |
Fingerprint recognition systems have important applications for privacy and security. This has led to more studies and technologies that improve on the security and accuracy of fingerprint identification and verification systems. Such improvements and studies involve the application of three-dimensional (3D) fingerprint systems, where the details of the finger are captured using 3D technologies and the captured 3D fingerprints are converted into two-dimensional (2D) fingerprints. This paper presents a brief survey on different methods that are used to unwrap 3D fingerprint images into 2D fingerprint images, compare them on the effects of distortion and analyses two promising methods. The aim of this survey is to investigate complexity and properties of non-parametric methods so that they can be easily applied on different fingerprint identification and verification systems. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.relation.ispartofseries |
Workflow;16683 |
|
dc.subject |
Fingerprint recognition systems |
en_US |
dc.subject |
Fingerprint identification |
en_US |
dc.subject |
Verification systems |
en_US |
dc.subject |
3D technologies |
en_US |
dc.subject |
2D fingerprint images |
en_US |
dc.title |
Complexity and distortion analysis on methods for unrolling 3D to 2D fingerprints |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Mlambo, C., & Moolla, Y. (2015). Complexity and distortion analysis on methods for unrolling 3D to 2D fingerprints. IEEE. http://hdl.handle.net/10204/8615 |
en_ZA |
dc.identifier.chicagocitation |
Mlambo, CS, and Yaseen Moolla. "Complexity and distortion analysis on methods for unrolling 3D to 2D fingerprints." (2015): http://hdl.handle.net/10204/8615 |
en_ZA |
dc.identifier.vancouvercitation |
Mlambo C, Moolla Y, Complexity and distortion analysis on methods for unrolling 3D to 2D fingerprints; IEEE; 2015. http://hdl.handle.net/10204/8615 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Mlambo, CS
AU - Moolla, Yaseen
AB - Fingerprint recognition systems have important applications for privacy and security. This has led to more studies and technologies that improve on the security and accuracy of fingerprint identification and verification systems. Such improvements and studies involve the application of three-dimensional (3D) fingerprint systems, where the details of the finger are captured using 3D technologies and the captured 3D fingerprints are converted into two-dimensional (2D) fingerprints. This paper presents a brief survey on different methods that are used to unwrap 3D fingerprint images into 2D fingerprint images, compare them on the effects of distortion and analyses two promising methods. The aim of this survey is to investigate complexity and properties of non-parametric methods so that they can be easily applied on different fingerprint identification and verification systems.
DA - 2015-11
DB - ResearchSpace
DP - CSIR
KW - Fingerprint recognition systems
KW - Fingerprint identification
KW - Verification systems
KW - 3D technologies
KW - 2D fingerprint images
LK - https://researchspace.csir.co.za
PY - 2015
T1 - Complexity and distortion analysis on methods for unrolling 3D to 2D fingerprints
TI - Complexity and distortion analysis on methods for unrolling 3D to 2D fingerprints
UR - http://hdl.handle.net/10204/8615
ER -
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en_ZA |