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Fighting identity theft with advances in fingerprint recognition

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dc.contributor.author Mathekga, Mmamolatelo E
dc.date.accessioned 2015-11-06T09:21:01Z
dc.date.available 2015-11-06T09:21:01Z
dc.date.issued 2015-10
dc.identifier.citation Mathekga, M.E. 2015. Fighting identity theft with advances in fingerprint recognition. In: The 5th CSIR conference, CSIR ICC, Pretoria, South Africa, 8-9 October 2015 en_US
dc.identifier.uri conference.csir.co.za/wp-content/uploads/2015/05/4Dick-Mathekga_presentation.pptx
dc.identifier.uri http://hdl.handle.net/10204/8242
dc.description The 5th CSIR conference, CSIR ICC, Pretoria, South Africa, 8-9 October 2015 en_US
dc.description.abstract The ease with which the green South African ID book could be forged has led to many instances of identity fraud, costing retail businesses millions in lost revenue on fraudulently created credit accounts. This has led the government, through the Department of Home Affairs, to look into using biometrics as a means to confirm identity, as this has proven to be a more reliable means of confirming identity. To support the government in its efforts to use biometrics, which are metrics related to human characteristics, the CSIR undertook to develop biometric research capabilities. With fingerprints being one of the most commonly used biometrics, most of the initial efforts have been directed at developing capability in biometric recognition using fingerprints. Initial efforts were directed at developing algorithms for performing key fingerprint image processing operations that are required in automated fingerprint recognition systems. The algorithms were then packaged into a software library and researchers continue to make improvements. The talk will give an overview of the algorithms developed and a comparison of their performance to those in the commercial software market. en_US
dc.language.iso en en_US
dc.publisher CSIR en_US
dc.subject Green South African ID book en_US
dc.subject Costing retail businesses en_US
dc.subject Biometrics en_US
dc.subject Fingerprint image processing en_US
dc.title Fighting identity theft with advances in fingerprint recognition en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Mathekga, M. E. (2015). Fighting identity theft with advances in fingerprint recognition. CSIR. http://hdl.handle.net/10204/8242 en_ZA
dc.identifier.chicagocitation Mathekga, Mmamolatelo E. "Fighting identity theft with advances in fingerprint recognition." (2015): http://hdl.handle.net/10204/8242 en_ZA
dc.identifier.vancouvercitation Mathekga ME, Fighting identity theft with advances in fingerprint recognition; CSIR; 2015. http://hdl.handle.net/10204/8242 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Mathekga, Mmamolatelo E AB - The ease with which the green South African ID book could be forged has led to many instances of identity fraud, costing retail businesses millions in lost revenue on fraudulently created credit accounts. This has led the government, through the Department of Home Affairs, to look into using biometrics as a means to confirm identity, as this has proven to be a more reliable means of confirming identity. To support the government in its efforts to use biometrics, which are metrics related to human characteristics, the CSIR undertook to develop biometric research capabilities. With fingerprints being one of the most commonly used biometrics, most of the initial efforts have been directed at developing capability in biometric recognition using fingerprints. Initial efforts were directed at developing algorithms for performing key fingerprint image processing operations that are required in automated fingerprint recognition systems. The algorithms were then packaged into a software library and researchers continue to make improvements. The talk will give an overview of the algorithms developed and a comparison of their performance to those in the commercial software market. DA - 2015-10 DB - ResearchSpace DP - CSIR KW - Green South African ID book KW - Costing retail businesses KW - Biometrics KW - Fingerprint image processing LK - https://researchspace.csir.co.za PY - 2015 T1 - Fighting identity theft with advances in fingerprint recognition TI - Fighting identity theft with advances in fingerprint recognition UR - http://hdl.handle.net/10204/8242 ER - en_ZA


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