Guide to Biometrics

By Ruud M. Bolle, J. Connell, Sharath Pankanti, Nalini K. Ratha, Andrew W. Senior. Springer Professional Computing, 2003

714 citations recorded by the source corpus.

Subfields: Signal Processing

View Paper: https://www.semanticscholar.org/paper/c315a050478781da65556a745e01286ee4a8676e

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In Signal Processing

Citations in the corpus

Biometrics: a tool for information security (2006, background): “Biometric authentication or, simply biometrics [5], [6], [ 69 ], refers to establishing identity based on the physical and behavioral characteristics (also known as traits or identifiers) of an individual such as face, fingerprint, hand geometry, iris, keystroke, signature, voice, etc.”
Identifying users of portable devices from gait pattern with accelerometers (2005, methodology): “The performance of the vision based gait biometrics is lower than, e.g., fingerprints, and the method is in its infancy [ 8 ].”
Classification assessment methods (2020, background): “Hence, to prevent imposter samples from being easily correctly identified by the model, the similarity score has to exceed a certain level (see Figure 11) [2].”
Behavioural biometrics: a survey and classification (2008, background): “…biometrics systems are usually less established, and only those which are in large part based on muscle control such as keystrokes, gait or signature are well analysed (Bolle et al., 2003; Delac and Grgic, 2004; Jain et al., 2004c; Ruggles, 2007; Solayappan and Latifi, 2006; Uludag et al., 2004).”
Open set face recognition using transduction (2005, background): “F ACE recognition [5], [8], [12], [38], [4], [20] has become one of the major biometric technologies in use.”
Generating Cancelable Fingerprint Templates (2007, methodology): “For information on obtaining reprints of this article, please send e-mail to: tpami@computer.org and reference IEEECS Log Number TPAMISI-0127-0206. problems were first identified [3], [4], [20], working solutions emerged only recently.”