dc.contributor.author |
Mlambo, CS
|
|
dc.contributor.author |
Shabalala, MB
|
|
dc.contributor.author |
Nelwamondo, Fulufhelo V
|
|
dc.date.accessioned |
2015-08-19T10:32:31Z |
|
dc.date.available |
2015-08-19T10:32:31Z |
|
dc.date.issued |
2015-01 |
|
dc.identifier.citation |
Mlambo, C.S, Shabalala, M.B and Nelwamondo, F.V. 2015. Analysis of computational complexity for HT-based fingerprint alignment algorithms on java card environment. In: The Fifth International Conference on Computer Science, Engineering and Applications (CCSEA-2015), Dubai, UAE, 23-24 January 2015 |
en_US |
dc.identifier.uri |
http://airccj.org/CSCP/vol5/csit53304.pdf
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/8027
|
|
dc.description |
The Fifth International Conference on Computer Science, Engineering and Applications (CCSEA-2015), Dubai, UAE, 23-24 January 2015. 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 |
In this paper, implementations of three Hough Transform based fingerprint alignment algorithms are analyzed with respect to time complexity on Java Card environment. Three algorithms are: Local Match Based Approach (LMBA), Discretized Rotation Based Approach (DRBA), and All Possible to Match Based Approach (APMBA). The aim of this paper is to present the complexity and implementations of existing work of one of the mostly used method of fingerprint alignment, in order that the complexity can be simplified or find the best algorithm with efficient complexity and implementation that can be easily implemented on Java Card environment for match on card. Efficiency involves the accuracy of the implementation, time taken to perform fingerprint alignment, memory required by the implementation and instruction operations required and used. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
CS & IT-CSCP |
en_US |
dc.relation.ispartofseries |
Workflow;14851 |
|
dc.subject |
Fingerprint alignment |
en_US |
dc.subject |
Java cards |
en_US |
dc.subject |
Hough transform |
en_US |
dc.subject |
Smart cards |
en_US |
dc.subject |
Time complexity |
en_US |
dc.title |
Analysis of computational complexity for HT-based fingerprint alignment algorithms on java card environment |
en_US |
dc.type |
Conference Presentation |
en_US |
dc.identifier.apacitation |
Mlambo, C., Shabalala, M., & Nelwamondo, F. V. (2015). Analysis of computational complexity for HT-based fingerprint alignment algorithms on java card environment. CS & IT-CSCP. http://hdl.handle.net/10204/8027 |
en_ZA |
dc.identifier.chicagocitation |
Mlambo, CS, MB Shabalala, and Fulufhelo V Nelwamondo. "Analysis of computational complexity for HT-based fingerprint alignment algorithms on java card environment." (2015): http://hdl.handle.net/10204/8027 |
en_ZA |
dc.identifier.vancouvercitation |
Mlambo C, Shabalala M, Nelwamondo FV, Analysis of computational complexity for HT-based fingerprint alignment algorithms on java card environment; CS & IT-CSCP; 2015. http://hdl.handle.net/10204/8027 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Mlambo, CS
AU - Shabalala, MB
AU - Nelwamondo, Fulufhelo V
AB - In this paper, implementations of three Hough Transform based fingerprint alignment algorithms are analyzed with respect to time complexity on Java Card environment. Three algorithms are: Local Match Based Approach (LMBA), Discretized Rotation Based Approach (DRBA), and All Possible to Match Based Approach (APMBA). The aim of this paper is to present the complexity and implementations of existing work of one of the mostly used method of fingerprint alignment, in order that the complexity can be simplified or find the best algorithm with efficient complexity and implementation that can be easily implemented on Java Card environment for match on card. Efficiency involves the accuracy of the implementation, time taken to perform fingerprint alignment, memory required by the implementation and instruction operations required and used.
DA - 2015-01
DB - ResearchSpace
DP - CSIR
KW - Fingerprint alignment
KW - Java cards
KW - Hough transform
KW - Smart cards
KW - Time complexity
LK - https://researchspace.csir.co.za
PY - 2015
T1 - Analysis of computational complexity for HT-based fingerprint alignment algorithms on java card environment
TI - Analysis of computational complexity for HT-based fingerprint alignment algorithms on java card environment
UR - http://hdl.handle.net/10204/8027
ER -
|
en_ZA |