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).
Reference:
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
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
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
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.