dc.contributor.author |
Msiza, IS
|
|
dc.contributor.author |
Mathekga, Mmamolatelo E
|
|
dc.contributor.author |
Nelwamondo, Fulufhelo V
|
|
dc.contributor.author |
Marwala, T
|
|
dc.date.accessioned |
2011-11-18T14:00:02Z |
|
dc.date.available |
2011-11-18T14:00:02Z |
|
dc.date.issued |
2011-09 |
|
dc.identifier.citation |
Msiza, IS, Mathekga, ME, Nelwamondo, FV and Marwala, T. 2011. Fingerprint segmentation: an investigation of various techniques and a parameter study of a variance-based method. International Journal of Innovative Computing, Information and Control, Vol 7(9), pp 5313-5326 |
en_US |
dc.identifier.issn |
1349-4198 |
|
dc.identifier.uri |
http://www.ijicic.org/vol-7(9).htm
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/5316
|
|
dc.description |
Copyright: Since 2004 ICIC International. This is an ABSTRACT ONLY |
en_US |
dc.description.abstract |
Fingerprint image segmentation plays an important role in any fingerprint image analysis implementation and it should, ideally, be executed during the initial stages of a fingerprint manipulation process. After careful consideration of various fingerprint segmentation approaches, this manuscript focuses on a block-wise method that is based on the gray-level variance of the image. Because the method of interest is subjected to a number of variable parameters, this document then presents a formal study of these parameters, using a carefully chosen set of experiments. This series of experiments is conducted on database Db1 a of the 2002 version of the Fingerprint Verification Competition (FVC2002). |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
ICIC International |
en_US |
dc.relation.ispartofseries |
Workflow request;7260 |
|
dc.subject |
Fingerprint segmentation |
en_US |
dc.subject |
Gray-level variance |
en_US |
dc.subject |
Pixel-block size |
en_US |
dc.subject |
Variance threshold |
en_US |
dc.subject |
Innovative computing |
en_US |
dc.subject |
Fingerprint verification competition |
en_US |
dc.title |
Fingerprint segmentation: an investigation of various techniques and a parameter study of a variance-based method |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Msiza, I., Mathekga, M. E., Nelwamondo, F. V., & Marwala, T. (2011). Fingerprint segmentation: an investigation of various techniques and a parameter study of a variance-based method. http://hdl.handle.net/10204/5316 |
en_ZA |
dc.identifier.chicagocitation |
Msiza, IS, Mmamolatelo E Mathekga, Fulufhelo V Nelwamondo, and T Marwala "Fingerprint segmentation: an investigation of various techniques and a parameter study of a variance-based method." (2011) http://hdl.handle.net/10204/5316 |
en_ZA |
dc.identifier.vancouvercitation |
Msiza I, Mathekga ME, Nelwamondo FV, Marwala T. Fingerprint segmentation: an investigation of various techniques and a parameter study of a variance-based method. 2011; http://hdl.handle.net/10204/5316. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Msiza, IS
AU - Mathekga, Mmamolatelo E
AU - Nelwamondo, Fulufhelo V
AU - Marwala, T
AB - Fingerprint image segmentation plays an important role in any fingerprint image analysis implementation and it should, ideally, be executed during the initial stages of a fingerprint manipulation process. After careful consideration of various fingerprint segmentation approaches, this manuscript focuses on a block-wise method that is based on the gray-level variance of the image. Because the method of interest is subjected to a number of variable parameters, this document then presents a formal study of these parameters, using a carefully chosen set of experiments. This series of experiments is conducted on database Db1 a of the 2002 version of the Fingerprint Verification Competition (FVC2002).
DA - 2011-09
DB - ResearchSpace
DP - CSIR
KW - Fingerprint segmentation
KW - Gray-level variance
KW - Pixel-block size
KW - Variance threshold
KW - Innovative computing
KW - Fingerprint verification competition
LK - https://researchspace.csir.co.za
PY - 2011
SM - 1349-4198
T1 - Fingerprint segmentation: an investigation of various techniques and a parameter study of a variance-based method
TI - Fingerprint segmentation: an investigation of various techniques and a parameter study of a variance-based method
UR - http://hdl.handle.net/10204/5316
ER -
|
en_ZA |