Biometric System Laboratory

Activities Projects

Activities

Fingerprint

Face

Hand

Iris

Ear

Signature

Multimodal

Performance Evaluation

Biometric Encryption

Other

Multimodal

Biometric systems that rely on the evidence of a single source of information for authentication (e.g., single fingerprint or face) are often affected by a variety of practical problems, such as noisy data (due to a dirty sensor or a poorly illuminated environment), large intra-class variations (e.g. different facial poses), non-universality, spoof attacks, and unacceptable error rates. Multiple biometrics can help to solve several practical problems, thus improving the recognition performance, increasing population coverage (e.g. to those not having a legible fingerprint) and providing anti-spoofing measures by making it difficult for an intruder to spoof multiple biometric traits simultaneously.

There has been a substantial amount of work done on the multimodal fusion approaches: the key is the combination of the various biometric characteristics at the feature extraction, match score, or decision level. Feature level fusion (also known as pre-classification fusion) combines feature vectors at the representation level to provide higher dimensional data points; match score level fusion and decision level fusion (post-classification fusion) combine the individual scores from multiple classifiers and the accept or reject decisions of each biometric system, respectively.

Bibliography

(Click here if you are interested in any of the publications below)

	L. Nanni, A. Lumini, M. Ferrara and R. Cappelli, "Learning for combining fingerprint matchers: a case study FVC-OnGoing", in Elizabeth T. Mueller, Neurocomputing: Learning, Architectures and Modeling, Nova Publishers, 2012. Abstract
	A. Lumini and L. Nanni, "Overview of the combination of biometric matchers", Information Fusion, vol.33, pp.71-85, January 2017. Abstract
	L. Nanni, A. Lumini, M. Ferrara and R. Cappelli, "Combining biometric matchers by means of machine learning and statistical approaches", NeuroComputing, vol.149, no.B, pp. 526-535, February 2015. Abstract
	L. Nanni, A. Lumini and S. Brahnam, "Likelihood ratio based features for a trained biometric score fusion", Expert Systems With Applications, vol.38, no.1, pp.58-63, January 2011. Abstract
	L. Nanni and A. Lumini, "Ensemble of multiple Palmprint representation", Expert Systems With Applications, vol.36, no.3, pp.4485-4490, April 2009. Abstract
	A. Lumini and L. Nanni, "Over-complete feature generation and feature selection for biometry", Expert Systems With Applications, vol.35, no.4, pp.2049-2055, November 2008. Abstract
	L. Nanni and A. Lumini, "A multi-modal method based on the competitors of FVC2004 and on Palm data combined with tokenised random numbers", Pattern Recognition Letters, vol.29, no.9, pp.1344-1350, July 2008. Abstract
	L. Nanni and A. Lumini, "A novel local on-line signature verification system", Pattern Recognition Letters, vol.29, no.5, pp.559-568, April 2008. Abstract
	L. Nanni and A. Lumini, "A hybrid wavelet-based fingerprint matcher", Pattern Recognition, vol.40, no.11, pp.3146-3151, November 2007. Abstract
	L. Nanni and A. Lumini, "RegionBoost Learning for 2D+3D based Face Recognition", Pattern Recognition Letters, vol.28, no.15, pp.2063-2070, November 2007. Abstract
	A. Lumini and L. Nanni, "An improved BioHashing for human authentication", Pattern Recognition, vol.40, no.3, pp.1057-1065, March 2007. Abstract
	A. Lumini and L. Nanni, "When Fingerprints Are Combined with Iris - A Case Study: FVC2004 and CASIA", International Journal of Network Security, vol.4, no.1, pp.27-34, January 2007. Abstract
	L. Nanni, "An advanced multi-matcher method for on-line signature verification featuring global features and tokenised random numbers", NeuroComputing, vol.69, no.16, pp.2402-2406, October 2006. Abstract
	A. Lumini and L. Nanni, "Empirical Tests on BioHashing", NeuroComputing, vol.69, no.16, pp.2390-2395, October 2006. Abstract
	A. Lumini and L. Nanni, "An advanced multi-modal method for human authentication featuring biometrics data and tokenised random numbers", NeuroComputing, vol.69, no.13, pp.1706-1710, August 2006. Abstract
	A. Lumini and L. Nanni, "An experimental comparison of ensemble of classifiers for biometric data", NeuroComputing, vol.69, no.13, pp.1670-1673, August 2006. Abstract
	L. Nanni, "Experimental comparison of one-class classifiers for on-line signature verification", NeuroComputing, vol.69, no.7, pp.869-873, March 2006. Abstract
	L. Nanni and A. Lumini, "Human authentication featuring signatures and tokenised random number", NeuroComputing, vol.69, no.7-9, pp.858-861, March 2006. Abstract
	L. Nanni and A. Lumini, "Advanced methods for two-class problem formulation for on-line signature verification", NeuroComputing, vol.69, no.7-9, pp.854-857, March 2006. Abstract
	D. Maio and L. Nanni, "Combination of different fingerprint systems: a case study FVC2004", Sensor Review, vol.26, no.1, pp.51-57, January 2006. Abstract
	D. Maio and L. Nanni, "MultiHashing, human authentication featuring biometrics data and tokenised random number: a case study FVC2004", NeuroComputing, vol.69, pp.242-249, December 2005. Abstract
	J. Fierrez-Aguilar, L. Nanni, J. Ortega-Garcia, R. Cappelli and D. Maltoni, "Combining Multiple Matchers for Fingerprint Verification: A Case Study in FVC2004", in proceedings 13th International Conference on Image Analysis and Processing (ICIAP2005), Cagliari, September 2005. Abstract
	J. Fierrez-Aguilar, L. Nanni, J. Lopez-Penalba, J. Ortega-Garcia and D. Maltoni, "An On-Line Signature Verification System Based on Fusion of Local and Global Information", in proceedings Audio- and Video-based Biometric Person Authentication, New York, July 2005. Abstract