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Please use this identifier to cite or link to this item: http://hdl.handle.net/10204/6109

Title: Quality-based fingerprint segmentation
Authors: Mngenge, NA
Nelwamondo, FV
Malumedzha, T
Msimang, N
Keywords: Fingerprint segmentation
Forensics
Fingerprint segmentation algorithm
Eigenvalues
Auto-correlation
Local contrast
Local orientation
Gradients
Issue Date: Jun-2012
Publisher: Springer-Verlag
Citation: Mngenge, NA, Nelwamondo, FV, Malumedzha, T and Msimang, N. Quality-based fingerprint segmentation. 9th International Conference on Image Analysis and Recognition (ICIAR 2012), Aveiro, Portugal, 25-27 June 2012, pp. 54-63
Series/Report no.: Workflow;9605
Abstract: The need for segmentation of low quality fingerprints in forensics, high security and civilian applications is constantly increasing. Most segmentation algorithms proposed in the literature normally deal with separation of the background from the foreground. However, low quality foreground regions must also be removed to lower errors in feature extraction, matching and decision modules. In this research work, a quality based fingerprint segmentation algorithm is proposed. The proposed algorithm is block-wise, it utilizes the auto-correlation matrix of gradients and its eigenvalue to compute the score quality measure of each block. The score quality measures both local contrast and orientation in each block. The threshold is computed by taking the mean for all the scores assigned to each block. It was evaluated on FVC 2002 and NIST High Resolution 27A databases. Its performance compared to other algorithms was evaluated by independent fingerprint quality measure algorithm. The results from both FVC and NIST databases show that the proposed algorithm results are promising.
Description: Copyright: 2012 Springer-Verlag. 9th International Conference on Image Analysis and Recognition (ICIAR 2012), Aveiro, Portugal, 25-27 June 2012. This is an ABSTRACT ONLY.
URI: http://link.springer.com/chapter/10.1007/978-3-642-31298-4_7?null
http://www.springerlink.com/content/9463312r6xt87720/?MUD=MP
http://hdl.handle.net/10204/6109
ISBN: 978-3-642-31297-7
978-3-642-31298-4
Appears in Collections:Safety and security
Nanotechnology
Open source
Laser physics and technology
Sensor science and technology
ICT in education, youth, gender
Information security
Systems biology
General science, engineering & technology

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