The utilization of a Taylor series-based transformation in fingerprint verification

Authors:
Peter Meenen;Ashkan Ashrafi;Reza Adhami
Affiliations:
Integrated Biometrics Laboratory, Department of Electrical and Computer Engineering, The University of Alabama in Huntsville, Engineering Building, Room 272, Huntsville, AL 35899, United States;Integrated Biometrics Laboratory, Department of Electrical and Computer Engineering, The University of Alabama in Huntsville, Engineering Building, Room 272, Huntsville, AL 35899, United States;Integrated Biometrics Laboratory, Department of Electrical and Computer Engineering, The University of Alabama in Huntsville, Engineering Building, Room 272, Huntsville, AL 35899, United States
Venue:
Pattern Recognition Letters
Year:
2006

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Abstract

Dealing with non-linear distortion in fingerprint images is a major difficulty for automated fingerprint verification systems. While this distortion can be a nuisance in minutiae matching systems, it is a major concern when matching smaller structures, such as points along ridges and pore locations. In this paper we show that a simple transformation derived from a Taylor series expansion can be used in conjunction with a set of corresponding minutia points to improve the correspondence of finer fingerprint details within a fingerprint image. This is demonstrated by applying the transformation to a database of fingerprint images and examining the ridge and pore match scores with and without the transformation. The results of our study show that this transform does provide a noticeable increase in matching accuracy.