dc.contributor.author |
Msiza, IS
|
|
dc.contributor.author |
Mistry, J
|
|
dc.contributor.author |
Nelwamondo, Fulufhelo V
|
|
dc.date.accessioned |
2011-09-21T15:14:01Z |
|
dc.date.available |
2011-09-21T15:14:01Z |
|
dc.date.issued |
2011-07 |
|
dc.identifier.citation |
Msiza, IS, Mistry, J and Nelwamondo, FV. 2011. Towards secondary fingerprint classification. International Conference on Computer Engineering and Applications (ICCEA). Haikou, China, 15-17 July 2011 |
en_US |
dc.identifier.isbn |
978-953-307-488-7 |
|
dc.identifier.uri |
http://hdl.handle.net/10204/5152
|
|
dc.description |
International Conference on Computer Engineering and Applications (ICCEA). Haikou, China, 15-17 July 2011 |
en_US |
dc.description.abstract |
This manuscript proposes a move towards the secondary level of fingerprint classification. This is done in order to further penetrate a fingerprint template database, and further reduce it to smaller partitions for efficient execution of the database search procedure. This is done through taking advantage of the extensibility of a structural fingerprint classifier when used on slapped, as opposed to rolled, fingerprints. The said classifier first orders a fingerprint into one of four primary fingerprint classes and, thereafter, into one of eight secondary fingerprint classes. Evaluated on the CSIR-Wits Fingerprint Database (CWFD), the primary classification module registers an accuracy figure of 80.4%, and the secondary classification module registers an accuracy figure of 76.8%. This small difference between the two figures is indicative of the validity of the proposed secondary classification module. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
InTech |
en_US |
dc.relation.ispartofseries |
Workflow request;7253 |
|
dc.subject |
Fingerprint core |
en_US |
dc.subject |
Fingerprint delta |
en_US |
dc.subject |
Primary classification |
en_US |
dc.subject |
Secondary classification |
en_US |
dc.subject |
Computer engineering |
en_US |
dc.subject |
Computer applications |
en_US |
dc.title |
Towards secondary fingerprint classification |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Msiza, I., Mistry, J., & Nelwamondo, F. V. (2011). Towards secondary fingerprint classification. InTech. http://hdl.handle.net/10204/5152 |
en_ZA |
dc.identifier.chicagocitation |
Msiza, IS, J Mistry, and Fulufhelo V Nelwamondo. "Towards secondary fingerprint classification." (2011): http://hdl.handle.net/10204/5152 |
en_ZA |
dc.identifier.vancouvercitation |
Msiza I, Mistry J, Nelwamondo FV, Towards secondary fingerprint classification; InTech; 2011. http://hdl.handle.net/10204/5152 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Msiza, IS
AU - Mistry, J
AU - Nelwamondo, Fulufhelo V
AB - This manuscript proposes a move towards the secondary level of fingerprint classification. This is done in order to further penetrate a fingerprint template database, and further reduce it to smaller partitions for efficient execution of the database search procedure. This is done through taking advantage of the extensibility of a structural fingerprint classifier when used on slapped, as opposed to rolled, fingerprints. The said classifier first orders a fingerprint into one of four primary fingerprint classes and, thereafter, into one of eight secondary fingerprint classes. Evaluated on the CSIR-Wits Fingerprint Database (CWFD), the primary classification module registers an accuracy figure of 80.4%, and the secondary classification module registers an accuracy figure of 76.8%. This small difference between the two figures is indicative of the validity of the proposed secondary classification module.
DA - 2011-07
DB - ResearchSpace
DP - CSIR
KW - Fingerprint core
KW - Fingerprint delta
KW - Primary classification
KW - Secondary classification
KW - Computer engineering
KW - Computer applications
LK - https://researchspace.csir.co.za
PY - 2011
SM - 978-953-307-488-7
T1 - Towards secondary fingerprint classification
TI - Towards secondary fingerprint classification
UR - http://hdl.handle.net/10204/5152
ER -
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en_ZA |