A survey of biometric recognition methods
By Kresimir Delac, Mislav Grgic. Proceedings. Elmar-2004. 46th International Symposium on Electronics in Marine, 2004
519 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/0c39eb97b54051ccbc04f350c6c567574626976c
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Citations in the corpus
- 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).”
- Smartphone and Smartwatch-Based Biometrics Using Activities of Daily Living (2019, methodology): “Biometric methods can be divided into physiological biometrics and behavioral biometrics [14], [15].”
- One-Class Learning Towards Synthetic Voice Spoofing Detection (2020, background): “S PEAKER verification plays an essential role in biometric authentication; it uses acoustics features to verify whether a given utterance is from the target person [1].”