Next Article in Journal
Amplified OTDR Systems for Multipoint Corrosion Monitoring
Next Article in Special Issue
Scattering Removal for Finger-Vein Image Restoration
Previous Article in Journal
Simultaneous Source Localization and Polarization Estimation via Non-Orthogonal Joint Diagonalization with Vector-Sensors
Previous Article in Special Issue
Two-Level Evaluation on Sensor Interoperability of Features in Fingerprint Image Segmentation
Sensors 2012, 12(3), 3418-3437; doi:10.3390/s120303418
Article

Improving Fingerprint Verification Using Minutiae Triplets

1,2,* , 1, 1 and 2
Received: 25 January 2012; in revised form: 28 February 2012 / Accepted: 28 February 2012 / Published: 8 March 2012
(This article belongs to the Special Issue Hand-Based Biometrics Sensors and Systems)
View Full-Text   |   Download PDF [878 KB, updated 21 June 2014; original version uploaded 21 June 2014]   |   Browse Figures
Abstract: Improving fingerprint matching algorithms is an active and important research area in fingerprint recognition. Algorithms based on minutia triplets, an important matcher family, present some drawbacks that impact their accuracy, such as dependency to the order of minutiae in the feature, insensitivity to the reflection of minutiae triplets, and insensitivity to the directions of the minutiae relative to the sides of the triangle. To alleviate these drawbacks, we introduce in this paper a novel fingerprint matching algorithm, named M3gl. This algorithm contains three components: a new feature representation containing clockwise-arranged minutiae without a central minutia, a new similarity measure that shifts the triplets to find the best minutiae correspondence, and a global matching procedure that selects the alignment by maximizing the amount of global matching minutiae. To make M3gl faster, it includes some optimizations to discard non-matching minutia triplets without comparing the whole representation. In comparison with six verification algorithms, M3gl achieves the highest accuracy in the lowest matching time, using FVC2002 and FVC2004 databases.
Keywords: fingerprint verification; minutiae descriptor; minutiae triplet fingerprint verification; minutiae descriptor; minutiae triplet
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Medina-Pérez, M.A.; García-Borroto, M.; Gutierrez-Rodríguez, A.E.; Altamirano-Robles, L. Improving Fingerprint Verification Using Minutiae Triplets. Sensors 2012, 12, 3418-3437.

AMA Style

Medina-Pérez MA, García-Borroto M, Gutierrez-Rodríguez AE, Altamirano-Robles L. Improving Fingerprint Verification Using Minutiae Triplets. Sensors. 2012; 12(3):3418-3437.

Chicago/Turabian Style

Medina-Pérez, Miguel Angel; García-Borroto, Milton; Gutierrez-Rodríguez, Andres Eduardo; Altamirano-Robles, Leopoldo. 2012. "Improving Fingerprint Verification Using Minutiae Triplets." Sensors 12, no. 3: 3418-3437.


Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert