Handbook Of Biometrics
By Mario Baum. 2016
634 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/678258aa137341dbe11e5dcb3ffa9ea376b88ec3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Arun A. Ross
- Abdenour Hadid
- Biao Xie
- Antitza Dantcheva
- Huimin Liu
- R. D. Labati
- Rawan Alghofaili
- E. M. Ballester
Citations in the corpus
- What Else Does Your Biometric Data Reveal? A Survey on Soft Biometrics (2016, background): “Biometrics is the science of recognizing individuals based on their physical, behavioral, and physiological attributes such as fingerprint, face, iris, gait and voice [111].”
- Deep-ECG: Convolutional Neural Networks for ECG biometric recognition (2019, methodology): “The used figures of merit are the Cumulative Match Characteristic (CMC) curve and the Rank(N) [22].”
- A Review on Virtual Reality Skill Training Applications (2021, background): “…characteristics to describe individuals, which can generally be divided into two groups: those that serve as identi fi ers of the body (such as fi ngerprints and retina scanning) and those that pertain to psychophysiological measures of human behavior and psychological state (Jain et al., 2007).”
- Face Biometrics Under Spoofing Attacks: Vulnerabilities, Countermeasures, Open Issues, and Research Directions (2014, background): “However, despite the significant progress in the recent decades [11], biometric systems are, unfortunately, vulnerable to attacks.”