Personal identity verification by serial fusion of fingerprint and face matchers

Authors:
Gian Luca Marcialis;Fabio Roli;Luca Didaci
Affiliations:
Department of Electrical and Electronic Engineering, University of Cagliari, Piazza d'Armi, I-09123 Cagliari, Italy;Department of Electrical and Electronic Engineering, University of Cagliari, Piazza d'Armi, I-09123 Cagliari, Italy;Department of Pedagogical and Philosophical Sciences, University of Cagliari, Piazza d'Armi, I-09123 Cagliari, Italy
Venue:
Pattern Recognition
Year:
2009

Citing 14
Cited 5

On-Line Fingerprint Verification

IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection

IEEE Transactions on Pattern Analysis and Machine Intelligence
On Combining Classifiers

IEEE Transactions on Pattern Analysis and Machine Intelligence
Integrating Faces and Fingerprints for Personal Identification

IEEE Transactions on Pattern Analysis and Machine Intelligence
FVC2000: Fingerprint Verification Competition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Person Identification Using Multiple Cues

IEEE Transactions on Pattern Analysis and Machine Intelligence
Handbook of Fingerprint Recognition

Handbook of Fingerprint Recognition
Pattern Classification (2nd Edition)

Pattern Classification (2nd Edition)
Handbook of Face Recognition

Handbook of Face Recognition
Handbook of Multibiometrics (International Series on Biometrics)

Handbook of Multibiometrics (International Series on Biometrics)
Eigenfaces for recognition

Journal of Cognitive Neuroscience
Likelihood Ratio-Based Biometric Score Fusion

IEEE Transactions on Pattern Analysis and Machine Intelligence
Score normalization in multimodal biometric systems

Pattern Recognition
Serial fusion of fingerprint and face matchers

MCS'07 Proceedings of the 7th international conference on Multiple classifier systems

A feature extraction method for use with bimodal biometrics

Pattern Recognition
A new protocol for multi-biometric systems' evaluation maintaining the dependencies between biometric scores

Pattern Recognition
Letters: Combine crossing matching scores with conventional matching scores for bimodal biometrics and face and palmprint recognition experiments

Neurocomputing
A modular architecture for the analysis of HTTP payloads based on multiple classifiers

MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Image security and biometrics: a review

HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II

Quantified Score

Hi-index	0.01

Visualization

Abstract

The use of personal identity verification systems with multi-modal biometrics has been proposed in order to increase the performance and robustness against environmental variations and fraudulent attacks. Usually multi-modal fusion of biometrics is performed in parallel at the score-level by combining the individual matching scores. This parallel strategy exhibits some drawbacks: (i) all available biometrics are necessary to perform fusion, thus the verification time depends on the slowest system; (ii) some users could be easily recognizable using a certain biometric instead of another one and (iii) the system invasiveness increases. A system characterized by the serial combination of multiple biometrics can be a good trade-off between verification time, performance and acceptability. However, these systems have been poorly investigated, and no support for designing the processing chain has been given so far. In this paper, we propose a novel serial scheme and a simple mathematical model able to predict the performance of two serially combined matchers as function of the selected processing chain. Our model helps the designer in finding the processing chain allowing a trade-off, in particular, between performance and matching time. Experiments carried out on well-known benchmark data sets made up of face and fingerprint images support the usefulness of the proposed methodology and compare it with standard parallel fusion.