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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/5316

Title: Fingerprint segmentation: an investigation of various techniques and a parameter study of a variance-based method
Authors: Msiza, IS
Mathekga, ME
Nelwamondo, FV
Marwala, T
Keywords: Fingerprint segmentation
Gray-level variance
Pixel-block size
Variance threshold
Innovative computing
Fingerprint verification competition
Issue Date: Sep-2011
Publisher: ICIC International
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
Series/Report no.: Workflow request;7260
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).
Description: Copyright: Since 2004 ICIC International. This is an ABSTRACT ONLY
URI: http://www.ijicic.org/vol-7(9).htm
http://hdl.handle.net/10204/5316
ISSN: 1349-4198
Appears in Collections:Safety and security
Information security
Digital intelligence
General science, engineering & technology

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