A method for fingerprint alignment and matching

Authors:
Li Wang;Nandita Bhattacharjee;Bala Srinivasan
Affiliations:
Monash University, Australia;Monash University, Australia;Monash University, Australia
Venue:
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
Year:
2012

Citing 10
Cited 0

Prominent Symmetry Points as Landmarks in Finger Print Images for Alignment

ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Rapid and brief communication: Two-class fingerprint matcher

Pattern Recognition
Fingerprint matching from minutiae texture maps

Pattern Recognition
Fingerprint Minutiae Matching without Global Alignment Using Local Structures

Informatica
Handbook of Fingerprint Recognition

Handbook of Fingerprint Recognition
High resolution partial fingerprint alignment using pore-valley descriptors

Pattern Recognition
Fingerprint alignment using similarity histogram

AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Adaptive approach to fingerprint image enhancement

Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia
A multilevel structural technique for fingerprint representation and matching

Signal Processing
Correlation-based fingerprint matching with orientation field alignment

ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Fingerprint is one of the most popular biometric methods for personal identification. In this paper, a novel alignment approach is introduced. This method based on the reference point detection and the texture information surrounding the minutiae. Furthermore, a new matching score calculation method is described to verify the proposed alignment method. The experiment result is also provided, the result shows it has the ERR at 2.61%.