An Efficient Hybrid Fingerprint Matching Algorithm

Author

Das, Priyanka ; Karthik, Kannan ; Garai, Boul Chandra

Author_Institution

Electron. & Electr. Eng. Dept., Indian Inst. of Technol. Guwahati, Guwahati, India

fYear

2011

fDate

15-17 Dec. 2011

Firstpage

150

Lastpage

153

Abstract

In this paper, a hybrid fingerprint matching algorithm based on phase correlation and minutiae points is proposed to improve the matching accuracy in fingerprint verification system. The phase correlation function which operates in the Fourier domain is used to determine the rotational offset while the core point detection algorithm is used to provide translational adjustment. Finally to match the aligned input and template minutiae sets, a Weighted Average Distance (WAD) measure is introduced. Experimental results show that the proposed method has an Equal Error Rate of 1.02% and 0.77% on two public domain databases FVC2002-DB1a and FVC2002-DB2a respectively.

Keywords

correlation methods; fingerprint identification; image matching; visual databases; FVC2002-DB1a; FVC2002-DB2a; Fourier domain; core point detection algorithm; efficient hybrid fingerprint matching algorithm; equal error rate; fingerprint verification system; matching accuracy; phase correlation function; phase correlation point; phase minutiae point; public domain database; translational adjustment; weighted average distance measure; Accuracy; Correlation; Databases; Fingerprint recognition; Image matching; Image segmentation; Reliability; Fingerprint; Hybrid; Minutiae; Weighted average distance;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2011 Third National Conference on

Conference_Location

Hubli, Karnataka

Print_ISBN

978-1-4577-2102-1

Type

conf

DOI

10.1109/NCVPRIPG.2011.39

Filename

6133023