TY - GEN
T1 - Verifying fingerprint match by local correlation methods
AU - Li, Jiang
AU - Tulyakov, Sergey
AU - Govindaraju, Venu
PY - 2007
Y1 - 2007
N2 - Most fingerprint matching algorithms are based on finding correspondences between minutiae in two fingerprints. In this paper we present a modification of minutiae matching method, which utilizes correlation scores between the local neighborhood areas of corresponding minutiae pairs and the edges that connect neighboring matched minutiae pairs. Minutiae based matching approach considers the overall minutiae distribution pattern between the two fingerprints. Neighborhood correlation score represents the local similarity between the matched pair of minutiae. Edge correlation score gives the resemblance of areas that in between the two corresponding minutiae pairs. Thus, both the global minutiae distribution structure and the local matching similarity between the two fingerprints are considered for final decision. The described matching approach has been tested on FVC2002's DB1 and DB3 database. The experimental results confirm the effectiveness of combining matching scores of different origin - minutia matching score and local correlation matching scores.
AB - Most fingerprint matching algorithms are based on finding correspondences between minutiae in two fingerprints. In this paper we present a modification of minutiae matching method, which utilizes correlation scores between the local neighborhood areas of corresponding minutiae pairs and the edges that connect neighboring matched minutiae pairs. Minutiae based matching approach considers the overall minutiae distribution pattern between the two fingerprints. Neighborhood correlation score represents the local similarity between the matched pair of minutiae. Edge correlation score gives the resemblance of areas that in between the two corresponding minutiae pairs. Thus, both the global minutiae distribution structure and the local matching similarity between the two fingerprints are considered for final decision. The described matching approach has been tested on FVC2002's DB1 and DB3 database. The experimental results confirm the effectiveness of combining matching scores of different origin - minutia matching score and local correlation matching scores.
UR - https://www.scopus.com/pages/publications/48649107676
U2 - 10.1109/BTAS.2007.4401954
DO - 10.1109/BTAS.2007.4401954
M3 - Conference contribution
AN - SCOPUS:48649107676
SN - 9781424415977
T3 - IEEE Conference on Biometrics: Theory, Applications and Systems, BTAS'07
BT - IEEE Conference on Biometrics
T2 - 1st IEEE International Conference on Biometrics: Theory, Applications, and Systems, BTAS '07
Y2 - 27 September 2007 through 29 September 2007
ER -