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Fingerprint segmentation: an investigation of various techniques and a parameter study of a variance-based method

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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


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