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Umut Uludag
Researcher at Michigan State University
Publications - 23
Citations - 3834
Umut Uludag is an academic researcher from Michigan State University. The author has contributed to research in topics: Biometrics & Fingerprint recognition. The author has an hindex of 17, co-authored 22 publications receiving 3716 citations. Previous affiliations of Umut Uludag include TÜBİTAK Marmara Research Center.
Papers
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Journal ArticleDOI
Biometric cryptosystems: issues and challenges
TL;DR: This work presents various methods that monolithically bind a cryptographic key with the biometric template of a user stored in the database in such a way that the key cannot be revealed without a successful biometric authentication.
Journal ArticleDOI
Large-scale evaluation of multimodal biometric authentication using state-of-the-art systems
TL;DR: This work is the first to demonstrate that multimodal fingerprint and face biometric systems can achieve significant accuracy gains over either biometric alone, even when using highly accurate COTS systems on a relatively large-scale population.
Book ChapterDOI
Fuzzy vault for fingerprints
TL;DR: This paper explores the realization of a previously proposed cryptographic construct, called fuzzy vault, with the fingerprint minutiae data, which aims to secure critical data with the fingerprints in a way that only the authorized user can access the secret by providing the valid fingerprint.
Journal ArticleDOI
Hiding biometric data
Anil K. Jain,Umut Uludag +1 more
TL;DR: This work introduces two applications of an amplitude modulation-based watermarking method, in which a user's biometric data is hidden in a variety of images and has the ability to increase the security of both the hiddenBiometric data and host images.
Proceedings ArticleDOI
Attacks on biometric systems: a case study in fingerprints
Umut Uludag,Anil K. Jain +1 more
TL;DR: This paper proposes an attack system that uses a hill climbing procedure to synthesize the target minutia templates and evaluates its feasibility with extensive experimental results conducted on a large fingerprint database.