Msiza, ISMathekga, Mmamolatelo ENelwamondo, Fulufhelo VMarwala, T2011-11-182011-11-182011-09Msiza, 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 5313-53261349-4198http://www.ijicic.org/vol-7(9).htmhttp://hdl.handle.net/10204/5316Copyright: Since 2004 ICIC International. This is an ABSTRACT ONLYFingerprint 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).enFingerprint segmentationGray-level variancePixel-block sizeVariance thresholdInnovative computingFingerprint verification competitionArticleMsiza, 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/10204/5316Msiza, 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/10204/5316Msiza 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.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 -