Physiological Biometrics
Physiological biometrics leverages unique human biological traits for identification and authentication, aiming to improve security and user experience across various applications. Current research emphasizes enhancing accuracy and robustness, particularly addressing biases in existing models, improving liveness detection across diverse datasets, and developing privacy-preserving techniques like image distortion and cancelable biometrics. These advancements are crucial for mitigating security risks, improving the reliability of biometric systems, and ensuring ethical and responsible deployment in diverse contexts such as law enforcement, healthcare, and online security.
Papers
BiometricBlender: Ultra-high dimensional, multi-class synthetic data generator to imitate biometric feature space
Marcell Stippinger, Dávid Hanák, Marcell T. Kurbucz, Gergely Hanczár, Olivér M. Törteli, Zoltán Somogyvári
An Overview of Privacy-enhancing Technologies in Biometric Recognition
Pietro Melzi, Christian Rathgeb, Ruben Tolosana, Ruben Vera-Rodriguez, Christoph Busch
On-line signature verification system with failure to enroll managing
Joan Fabregas, Marcos Faundez-Zanuy
Thermal hand image segmentation for biometric recognition
Xavier Font-Aragones, Marcos Faundez-Zanuy, Jiri Mekyska
Biometric security technology
Marcos Faundez-Zanuy
Privacy issues on biometric systems
Marcos Faundez-Zanuy