Fingerprint matching using minutiae coordinate systems

Authors:
Farid Benhammadi;Hamid Hentous;Kadda Bey-Beghdad;Mohamed Aissani
Affiliations:
Laboratory of Computer Science, Military. Polytechnic School, Algiers, Algeria;Laboratory of Computer Science, Military. Polytechnic School, Algiers, Algeria;Laboratory of Computer Science, Military. Polytechnic School, Algiers, Algeria;Laboratory of Computer Science, Military. Polytechnic School, Algiers, Algeria
Venue:
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Year:
2005

Citing 7
Cited 2

On-Line Fingerprint Verification

IEEE Transactions on Pattern Analysis and Machine Intelligence
A Fingerprint Verification System Based on Triangular Matching and Dynamic Time Warping

IEEE Transactions on Pattern Analysis and Machine Intelligence
An Intrinsic Coordinate System for Fingerprint Matching

AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Handbook of Fingerprint Recognition

Handbook of Fingerprint Recognition
Integrating Local and Global Features in Automatic Fingerprint Verification

ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
A Fingerprint Verification Algorithm Using the Differential Matching Rate

ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Fingerprint Matching Using an Orientation-Based Minutia Descriptor

IEEE Transactions on Pattern Analysis and Machine Intelligence

Cancelable fingerprint templates using minutiae-based bit-strings

Journal of Network and Computer Applications
An alignment-free fingerprint bio-cryptosystem based on modified Voronoi neighbor structures

Pattern Recognition

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose an original fingerprint matching algorithm using a set of intrinsic coordinate systems which each one is attached to each minutia according to its orientation estimated from fingerprint image. Exploiting these coordinate systems, minutiae locations can be redefined by means of projection of these minutiae coordinates on the relative reference of each orientation minutia. Thus, our matching algorithm use these relative minutiae coordinate to calculate the matching score between two fingerprints. To avoid the directional field estimation errors, we propose a minutia orientation variation in order to manage the projection errors of the location minutiae. With this technique, our approach doesn't embedding fingerprint alignment into the minutia matching stage to design the robust algorithms for fingerprint recognition. The algorithm matching was tested on a fingerprint database DB2 used in FVC2000 and the results are promising.