TY - GEN
T1 - A novel fingerprint matching method by excluding elastic distortion
AU - Mao, Keming
AU - Wang, Guoren
AU - Yu, Ge
PY - 2008
Y1 - 2008
N2 - Fingerprint matching is a key issue in fingerprint recognition systems. Although there already exist many researches about fingerprint matching algorithm, it is still a challenging problem for reliable person authentication because of the complex distortions involved in the fingerprint. The non-linear deformation can lead to the change of both position and direction of minutiae and hence decrease the reliability of the minutiae. In this paper, we propose a novel minutiae-based fingerprint matching algorithm. First a new structure Adjacent Feature Union(AFU) is defined, which is invariant to rotation and translation. AFU represents the local feature of a fingerprint and it is used to align the fingerprint. Moreover, the information of the ridge frequency and block orientation is utilized to construct a distortion-tolerant model. Using this model the position and direction of the minutiae can be readjusted and thus enhance the performance of the matching. The proposed method can minimize the effect of the elastic distortion in fingerprint. Experiment results demonstrate the effectiveness of the matching method.
AB - Fingerprint matching is a key issue in fingerprint recognition systems. Although there already exist many researches about fingerprint matching algorithm, it is still a challenging problem for reliable person authentication because of the complex distortions involved in the fingerprint. The non-linear deformation can lead to the change of both position and direction of minutiae and hence decrease the reliability of the minutiae. In this paper, we propose a novel minutiae-based fingerprint matching algorithm. First a new structure Adjacent Feature Union(AFU) is defined, which is invariant to rotation and translation. AFU represents the local feature of a fingerprint and it is used to align the fingerprint. Moreover, the information of the ridge frequency and block orientation is utilized to construct a distortion-tolerant model. Using this model the position and direction of the minutiae can be readjusted and thus enhance the performance of the matching. The proposed method can minimize the effect of the elastic distortion in fingerprint. Experiment results demonstrate the effectiveness of the matching method.
UR - https://www.scopus.com/pages/publications/47249160216
U2 - 10.1007/978-3-540-78568-2_26
DO - 10.1007/978-3-540-78568-2_26
M3 - Conference contribution
AN - SCOPUS:47249160216
SN - 3540785671
SN - 9783540785675
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 348
EP - 363
BT - Database Systems for Advanced Applications - 13th International Conference, DASFAA 2008, Proceedings
T2 - 13th International Conference on Database Systems for Advanced Applications, DASFAA 2008
Y2 - 19 March 2008 through 21 March 2008
ER -