An Efficient Hybrid Fingerprint Matching Algorithm

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...

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Hauptverfasser:	Das, P., Karthik, K., Garai, B. C.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Correlation Fingerprint Fingerprint recognition Hybrid Image matching Image segmentation Minutiae Reliability Weighted average distance
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creator	Das, P. Karthik, K. Garai, B. C.
description	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.
doi_str_mv	10.1109/NCVPRIPG.2011.39
format	Conference Proceeding
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C.</creatorcontrib><description>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. 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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.</description><subject>Accuracy</subject><subject>Correlation</subject><subject>Fingerprint</subject><subject>Fingerprint recognition</subject><subject>Hybrid</subject><subject>Image matching</subject><subject>Image segmentation</subject><subject>Minutiae</subject><subject>Reliability</subject><subject>Weighted average distance</subject><isbn>9781457721021</isbn><isbn>1457721023</isbn><isbn>9780769545998</isbn><isbn>0769545998</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9i0ELgjAcxRcRFOU96LIvkO2_6eaOIlodConoKmZTF2oxvfjtG9G5d3n8fo-H0BqIC0Dk7hzd0ssx3buUALhMTpAjRUAEl77nSxlMvwyeLwQFQmGOnL5_EhvOA8lhgWjY4bgsdaFVN-DDeDf6gRPdVcq8jbbqlA9FbRmHTfUyeqjbFZqVedMr59dLtEnia3TYaqVUZl9tbsaMA2OEMvZ__QAFrDbu</recordid><startdate>201112</startdate><enddate>201112</enddate><creator>Das, P.</creator><creator>Karthik, K.</creator><creator>Garai, B. 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C.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An Efficient Hybrid Fingerprint Matching Algorithm</atitle><btitle>2011 Third National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics</btitle><stitle>ncvpripg</stitle><date>2011-12</date><risdate>2011</risdate><spage>150</spage><epage>153</epage><pages>150-153</pages><isbn>9781457721021</isbn><isbn>1457721023</isbn><eisbn>9780769545998</eisbn><eisbn>0769545998</eisbn><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. 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language	eng
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	Accuracy Correlation Fingerprint Fingerprint recognition Hybrid Image matching Image segmentation Minutiae Reliability Weighted average distance
title	An Efficient Hybrid Fingerprint Matching Algorithm
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