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This page briefly explains my research, but it does not contain
the latest information.
The publications link is more often
updated.
Biometrics
Biometrics
is a new field aiming to recognize a person from his/her biological traits such
as fingerprint, iris, retina, face, handshape,
signature, keystroke dynamics,... It is
increasingly used in identity verification, while also drawing concerns
about a loss of privacy. We have developed verification systems for online
and offline signatures, and fingerprints.
A newly studied aspect of biometrics is the issue of privacy:
what happens if someone steals your fingerprint? You cannot replace nor
revoke it! We study methods to prevent privacy loss that accompany the
benefits of biometrics (e.g. cancelable biometrics, combined biometrics,
fuzzy vault etc.). Biometric
cryptosystems, systems combining biometrics and cryptography, tries to
achieve cryptographic systems based on biometrics, and also address the
privacy problem as well.
The
online signature verification system we developed has won the first place
at The First
International Signature Verification Competition (SVC 2004) organized in
conjunction with the First
International Conference on Biometric Authentication (ICBA 2004) .
Related papers:
Multi-biometric templates:
“Multimodal Biometric Templates for
Verification Using Fingerprint and Voice”, E. Camlikaya,
A. Kholmatov, B. Yanikoglu,
SPIE Defense & Security: Biometric Technology For Human Identification
V, 16-20 March 2008, Orlando FL, USA..
In this paper, we combine
the voice and fingerprint of a person to obtain a multi-biometric template
which is both more secure and alleviates privacy concerns.
“Combining
Multiple Biometrics to Protect Privacy”, Berrin Yanikoglu
and Alisher Kholmatov,
Proceedings of ICPR-BCTP Workshop, Cambridge,
England,
Aug 2004. bibtex
A precursor to the above.
Fuzzy Vault:
“Realization of Correlation Attack Against
Fuzzy Vault”, A. Kholmatov
and B. Yanikoglu, Security,
Forensics, Steganography, and Watermarking
of Multimedia Contents X, Electronic Imaging, 27-31 Jan. 2008, San Jose CA,
USA.
Shows
the vulnerability of the Fuzzy Vault scheme againsr
correlation attacks.
"Secret sharing using biometric
traits", A. Kholmatov, B. A. Yanikoglu, E. Savas, A. Levi,
Biometric Technology For Human Identification III, 18 April 2006, Orlando,
Florida USA, In Proceedings of SPIE Vol. #6202.
In this paper, we implement the Fuzzy
Vault with fingerprints and show how multiple people can share a secret
within this framework. The Fuzzy Vault implementation does not make any
simplifying assumptions.
Online signatures:
“An Individuality Model for Online
Signatures”, A.
Kholmatov and B. Yanikoglu,
SPIE Defense & Security: Biometric Technology For Human Identification
V, 16-20 March 2008, Orlando
FL, USA.
Estimates
the guessing entropy of online signatures: how hard is it to guess
someone’s signature? Is it better than a 4-digit ATM pin?...
“SUSIG: An On-line
Handwritten Signature Database, Associated Protocols and Benchmark
Results”, A. Kholmatov
and B. Yanikoglu, Pattern Analysis
and Applications, 2008.
Describes
the protocols and benchmark results for the SUSIG database.
"Identity
authentication using improved online signature verification method",
Alisher Kholmatov
and Berrin Yanikoglu
Pattern Recognition Letters, Vol 26(15), pp
2400-2408, Nov. 2005
Thesis supervised:
"Privacy Protecting Biometric
Authentication Systems",
PhD Thesis, Alisher Kholmatov,
Sabanci University,
2008.
"Biometric
Identity Verification Using On-Line & Off-Line Signature Verification",
Alisher Kholmatov, Sabanci
University, July, 2003: (abstract in English)(abstract
in Turkish)
bibtex
TÜBİTAK
Project (No: 105 E 165 Duration: 6/2006-6/2008): “Privacy Protecting Biometric
Authentication Systems”.
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