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Nalini K. Ratha
Researcher at IBM
Publications - 230
Citations - 13245
Nalini K. Ratha is an academic researcher from IBM. The author has contributed to research in topics: Biometrics & Fingerprint recognition. The author has an hindex of 50, co-authored 216 publications receiving 12290 citations. Previous affiliations of Nalini K. Ratha include Michigan State University & University at Buffalo.
Papers
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Journal ArticleDOI
Secure and Robust Iris Recognition Using Random Projections and Sparse Representations
TL;DR: This paper proposes a unified framework based on random projections and sparse representations that can simultaneously address all three issues mentioned above in relation to iris biometrics, and includes enhancements to privacy and security by providing ways to create cancelable iris templates.
Journal ArticleDOI
Object detection using gabor filters
TL;DR: A feature-based segmentation approach to the object detection problem is pursued, where the features are computed over multiple spatial orientations and frequencies, which helps in the detection of objects located in complex backgrounds.
Patent
To a combined fingerprint acquisition and control device
TL;DR: In this article, the authors combine the functionality of a computer pointing device with a fingerprint authentication system by regularly scanning fingerprints acquired from the pointing device touch pad, fingerprint features may be extracted and compared to stored data on authorized users for passive authentication.
BookDOI
Automatic Fingerprint Recognition Systems
Nalini K. Ratha,Ruud M. Bolle +1 more
TL;DR: An authoritative survey of intelligent fingerprint-recognition concepts, technology, and systems is given and is an indispensable resource for current knowledge and technology in the field.
Proceedings ArticleDOI
Robust fingerprint authentication using local structural similarity
TL;DR: This work proposes a novel, efficient, accurate and distortion-tolerant fingerprint authentication technique based on graph representation that has been tested with excellent results on a large private livescan database obtained with optical scanners.