dc.contributor.author |
Mathekga, Mmamolatelo E
|
|
dc.contributor.author |
Msiza, IS
|
|
dc.date.accessioned |
2010-04-18T13:57:26Z |
|
dc.date.available |
2010-04-18T13:57:26Z |
|
dc.date.issued |
2009-11 |
|
dc.identifier.citation |
Mathekga, ME and Msiza, IS 2009. Singular point detection algorithm based on the transition line of the fingerprint orientation image. 20th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA), Stellenbosch, South Africa, 30 November-01 December 2009, pp 1-6 |
en |
dc.identifier.isbn |
978-0-7992-2356-9 |
|
dc.identifier.uri |
http://hdl.handle.net/10204/4046
|
|
dc.description |
20th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA), Stellenbosch, South Africa, 30 November-01 December 2009 |
en |
dc.description.abstract |
A new algorithm for identifying and locating singular points on a fingerprint image is presented. This algorithm is based on properties of the fingerprint orientation image, including a feature defined as a transition line. The transition line is shown to provide an efficient means of both tracking and classifying singular points without having to search through the entire fingerprint image. The algorithm is shown to be precise and its performance is evaluated using three measures, namely, the detection accuracy (DA), the detection time (DT) and a Humanversus-Algorithm (HvA) score. Using a dataset from the Fingerprint Verification Competition 2002 (FVC 2002), the performance of the algorithm is: DA = 89.6 %, DT = 0.48 s and HvA = 0.92. |
en |
dc.language.iso |
en |
en |
dc.subject |
Transition line |
en |
dc.subject |
Algorithm |
en |
dc.subject |
Orientation image |
en |
dc.subject |
Delta |
en |
dc.subject |
Detection accuracy |
en |
dc.subject |
Detection time |
en |
dc.subject |
Humanversus- Algorithm |
en |
dc.subject |
Fingerprint verification competition 2002 |
en |
dc.subject |
Singular point detection |
en |
dc.title |
Singular point detection algorithm based on the transition line of the fingerprint orientation image |
en |
dc.type |
Conference Presentation |
en |
dc.identifier.apacitation |
Mathekga, M. E., & Msiza, I. (2009). Singular point detection algorithm based on the transition line of the fingerprint orientation image. http://hdl.handle.net/10204/4046 |
en_ZA |
dc.identifier.chicagocitation |
Mathekga, Mmamolatelo E, and IS Msiza. "Singular point detection algorithm based on the transition line of the fingerprint orientation image." (2009): http://hdl.handle.net/10204/4046 |
en_ZA |
dc.identifier.vancouvercitation |
Mathekga ME, Msiza I, Singular point detection algorithm based on the transition line of the fingerprint orientation image; 2009. http://hdl.handle.net/10204/4046 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - Mathekga, Mmamolatelo E
AU - Msiza, IS
AB - A new algorithm for identifying and locating singular points on a fingerprint image is presented. This algorithm is based on properties of the fingerprint orientation image, including a feature defined as a transition line. The transition line is shown to provide an efficient means of both tracking and classifying singular points without having to search through the entire fingerprint image. The algorithm is shown to be precise and its performance is evaluated using three measures, namely, the detection accuracy (DA), the detection time (DT) and a Humanversus-Algorithm (HvA) score. Using a dataset from the Fingerprint Verification Competition 2002 (FVC 2002), the performance of the algorithm is: DA = 89.6 %, DT = 0.48 s and HvA = 0.92.
DA - 2009-11
DB - ResearchSpace
DP - CSIR
KW - Transition line
KW - Algorithm
KW - Orientation image
KW - Delta
KW - Detection accuracy
KW - Detection time
KW - Humanversus- Algorithm
KW - Fingerprint verification competition 2002
KW - Singular point detection
LK - https://researchspace.csir.co.za
PY - 2009
SM - 978-0-7992-2356-9
T1 - Singular point detection algorithm based on the transition line of the fingerprint orientation image
TI - Singular point detection algorithm based on the transition line of the fingerprint orientation image
UR - http://hdl.handle.net/10204/4046
ER -
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en_ZA |