Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19091
Title: Segmentation of fingerprint image by using polarimetric feature
Authors: Chen, C
Zhang, D 
Zhang, L 
Zhao, Y
Keywords: Fingerprint segmentation
Polarimetric variance
Results evaluation
Stokes fingerprint imaging system
Issue Date: 2010
Source: IEEE 2010 International Conference on Autonomous and Intelligent Systems, AIS 2010, 2010, 5547039 How to cite?
Journal: IEEE 2010 International Conference on Autonomous and Intelligent Systems, AIS 2010 
Abstract: Segmentation of fingerprint image is the first step of fingerprint recognition, and it plays an essential role which helps to preserve genuine and reduce false minutiae and further aids the performance of Automatic Fingerprint Identification System (AFIS). The problem of segmentation has been thoroughly studied but never been completely solved. During this paper, we propose a novel representation of fingerprint image with the added polari-metric information which is captured by Stokes Imaging System, and followed by a simple yet efficient segmentation of fingerprint image based on the polarimetric variance (Polvar). Polarimetric characteristic is another distinguishable feature beside intense that reflecting light carries, and it provides potential way to enhance the contrast between background and foreground, and between ridges and valleys as well. And therefore, there is a possibility to achieve a satisfactory segmentation results. Nonoverlapping block Polvar feature is utilized to accelerate computation, and moreover the segmentation results that are based on other common used features are compared, that is block energy, block coherence, block cluster degree. Experimental results show that our proposed novel method is much efficient than the other features and simultaneously achieve higher accuracy especially it well segments the case of remaining ridges from previously scanned finger. Segmentation results are evaluated both visually by human inspire and quantitatively.
Description: IEEE 2010 International Conference on Autonomous and Intelligent Systems, AIS 2010, Povoa de Varzim, 21-23 June 2010
URI: http://hdl.handle.net/10397/19091
ISBN: 9781424471072
DOI: 10.1109/AIS.2010.5547039
Appears in Collections:Conference Paper

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