research-article

Privacy-preserving multimodal person and object identification

Authors:

Sviatoslav Voloshynovskiy,

Thierry PunAuthors Info & Claims

MM&Sec '08: Proceedings of the 10th ACM workshop on Multimedia and security

Pages 177 - 184

https://doi.org/10.1145/1411328.1411359

Published: 22 September 2008 Publication History

Abstract

In this paper we investigate multimodal biometric person and object identification. We model this process of multimodal identification as multimodal multiple hypothesis testing with independent modalities. We analyze theoretical performance limits that can be attained in such a multimodal protocol in terms of exponents of average error probability. Furthermore, we address a privacy related issues in this paper. In particular, we consider performance/privacy trade-off due to the indirect multimodal identification performed in a secret subspace and approximate the obtained performance limits using properties of random projections. Finally, a set of experiments exemplifies our findings.

References

[1]

A. K. Jain, A. Ross, and S. Pankanti, "Biometrics: A tool for information security," IEEE Trans. on Information Forensics and Security, vol. 1, no. 2, pp. 125--143, June 2006.

Digital Library

[2]

M. Golfarelli, D. Maio, and D. Maltoni, "On the error-reject tradeoff in biometric verification systems, IEEE Trans. on attern Analysis Machine Intelligence, vol. 19, no. 7, pp. 786--796, July 1997.

Digital Library

[3]

A. K. Jain and D. Maltoni, Handbook of Fingerprint Recognition. Secaucus, NJ, USA: Springer-Verlag New York, Inc., 2003.

Digital Library

[4]

A. K. Jain, S. C. Dass, and K. Nandakumar, "Can soft biometric traits assist user recognition?" in First international conference on Biometric Authentication, 2004, pp. 561--572.

[5]

L. Hong, A. K. Jain, and S. Pankanti, "Can multibiometrics improve performance?" Department of Computer Science, Michigan State University, East Lansing, Michigan, Tech. Rep. MSU-CSE-99-39, December 1999.

[6]

L. Hong and A. K. Jain, "Integrating faces and fingerprints for personal identification," in ACCV '98: Proceedings of the Third Asian Conference on Computer Vision-Volume I. London, UK: Springer-Verlag, 1997, pp. 16--23.

Digital Library

[7]

A. A. Ross, K. Nandakumar, and A. K. Jain, Handbook of Multibiometrics (International Series on Biometrics). Secaucus, NJ, USA: Springer-Verlag New York, Inc., 2006.

Digital Library

[8]

T. Cover and J. Thomas, Elements of Information Theory. Wiley and Sons, New York, 1991.

Digital Library

[9]

A. Ross, R. G. Hong, A. K. Jain, and S. Pankanti, Feature level fusion using hand and face biometrics, in SPIE Conf. Biometric Technology for Human Identification II, 2005, pp. 196--204.

[10]

O. Koval, S. Voloshynovskiy, and T. Pun, "Error exponent analysis of person identification based on fusion of independent modalities," in Proceedings of the SPIE International Conference on Security and Watermarking of Multimedia Contents III, San Jose, CA, USA, January 2007.

[11]

B. Ulery, W. Fellner, A. H. P. Hallinan and, C. Watson, "Evaluation of selected biometric fusion techniques," Tech. Rep., http://www.itl.nist.gov/iad/894.03/pact/ir7346 C.pdf.

[12]

R. Brunelli and D. Falavigna, "Person identification using multiple cues," IEEE Trans. Pattern Anal. Mach. Intell., vol. 17, no. 10, pp. 955--966, 1995.

Digital Library

[13]

E. S. Bigun, J. Bigun, B. Duc, and S. Fischer, "Expert conciliation for multi modal person authentication systems by bayesian statistics," in AVBPA '97: Proceedings of the First International Conference on Audio- and Video-Based Biometric Person Authentication. London, UK: Springer-Verlag, 1997, pp. 291--300.

Digital Library

[14]

O. Ushmaev and S. Novikov, "Biometric fusion: Robust approach," in Workshop on Multimodal User Authent. (MMUA 2006), Toulouse, France, 2006.

[15]

E. Martinian, S. Yekhanin, and J. Yedidia, "Secure biometrics via syndromes," in 43rd Annual Allerton Conference on Communications, Control, and Computing, Monticello, IL, USA, October 2005.

[16]

U. Maurer, "Secret key agreement by public discussion from common information," IEEE Trans. Inform. Theory, vol. 39, pp. 733--742, 1993.

Digital Library

[17]

R. Ahlswede and I. Csiszar, "Common randomness in information theory and cryptography -- part i: secret sharing," IEEE Trans. Inform. Theory, vol. 39, no. 4, pp. 1121--1132, 1993.

[18]

D. Slepian and J. Wolf, "Noiseless encoding of correlated information sourcea," IEEE Trans. Information Theory, vol. 19, pp. 471--480, July 1973.

[19]

O. Koval, S. Voloshynovskiy, and T. Pun, Privacy-preserving biometric person identification," in EUSIPCO'08, Lausanne, Switzerland, August 2008.

[20]

P. Tuyls, B. Skoric, and T. K. (Eds.), Security with Noisy Data: On Private Biometrics, Secure Key Storage and Anti-Counterfeiting. Springer, 2007.

Digital Library

[21]

O. Koval, S. Voloshinovskiy, and T. Pun, Privacy-preserving biometric person identification, Proc. 2008 European Signal Processing Conference (EUSIPCO-2008), Augusst 2008, Lausanne, Switzerland.

[22]

U. Uludag, "Secure Biometric Systems," Ph.D. Thesis, Michigan State University, 2006.

Digital Library

[23]

M. R. Freire, J. Fierrez, J. Galbally, andJ. Ortega-Garcia, "Biometric hashing based on genetic selection and its application to on-line signatures",Proc. IAPR International Conference on Biometrics, ICB, August,2007.

Digital Library

[24]

A. Ross, "Information fusion in fingerprint authentication," Ph.D. dissertation, Michigan State University, Michigan, USA, 2003.

Digital Library

[25]

O. Koval, S. Voloshynovskiy, and T. Pun, "Analysis of multimodal binary detection systems based on dependent/independent modalities," in IEEE Int Workshop on Multimedia Sign. Proc. (MMSP'07), Chania, Crete, Greece, October 2007.

[26]

H. van Trees, Detection, Estimation, and Modulation Theory, Part I. New York, Wiley, 1968.

[27]

C.C. Leang and D.H.Johnson, "On the asymptotics of m-hypothesis bayesian detection," IEEE Trans. on Information Theory, vol. 43, no. 1, pp. 280--282, January 1997.

Digital Library

[28]

W. B. Johnson and J. Lindenstrauss, "Extensions of lipschitz mapping into hilbert space," Contemporary Mathematics, no. 26, pp. 189--206, 1984.

[29]

N. Al-Dhahir and J. M. Cioffi, "Optimum finite-length equalization for multicarrier transceivers," IEEE Trans. on Inf. Com., vol. 44, no. 1, pp. 56--63, Jan. 1998.

Cited By

Djebli HAit-Aoudia SMichelucci D(2022)Quantized random projections of SIFT features for cancelable fingerprintsMultimedia Tools and Applications10.1007/s11042-022-13646-w82:5(7917-7937)Online publication date: 15-Aug-2022
https://doi.org/10.1007/s11042-022-13646-w
Jassim SAl-Assam HSellahewa H(2009)Improving performance and security of biometrics using efficient and stable random projection techniques2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis10.1109/ISPA.2009.5297690(556-561)Online publication date: Sep-2009
https://doi.org/10.1109/ISPA.2009.5297690

Index Terms

Privacy-preserving multimodal person and object identification
1. Information systems

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cover image ACM Conferences

MM&Sec '08: Proceedings of the 10th ACM workshop on Multimedia and security

September 2008

242 pages

ISBN:9781605580586

DOI:10.1145/1411328

General Chair:
Andrew Ker
University of Oxford, UK
,
Program Chairs:
Jana Dittmann
Otto-von-Guericke University, Magdeburg, Germany
,
Jessica Fridrich
SUNY Binghamton, USA

Copyright © 2008 ACM.

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Publication History

Published: 22 September 2008

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MM&Sec '08: Multimedia and Security Workshop

September 22 - 23, 2008

Oxford, United Kingdom

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Cited By

Djebli HAit-Aoudia SMichelucci D(2022)Quantized random projections of SIFT features for cancelable fingerprintsMultimedia Tools and Applications10.1007/s11042-022-13646-w82:5(7917-7937)Online publication date: 15-Aug-2022
https://doi.org/10.1007/s11042-022-13646-w
Jassim SAl-Assam HSellahewa H(2009)Improving performance and security of biometrics using efficient and stable random projection techniques2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis10.1109/ISPA.2009.5297690(556-561)Online publication date: Sep-2009
https://doi.org/10.1109/ISPA.2009.5297690

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