Topic: Generalisable Presentation Attack Detection for Multiple Types of Biometric Characteristics
by Lazaro Janier Gonzalez-Soler
D19/2.03a, November 23, 2022 (Wednesday), 12.00 noon
Keywords — Biometrics, Presentation Attack Detection, Common Feature Space, Biometric Characteristics
Biometric systems have experienced a large development in recent years since they are accurate, secure, and in many cases, more user convenient than traditional credential-based access control systems. In spite of their benefits, biometric systems are still vulnerable to attack presentations (APs), which can be easily launched by a fraudulent subject without having a wide expert knowledge. This way, he/she can gain access to several applications, such as bank accounts and smartphone unlocking, where biometric systems are frequently deployed. In order to mitigate such threats and increase the security of biometric systems, the development of generalisable Presentation Attack Detection (PAD) algorithms is of utmost importance to the research community. This presentation is a PhD. thesis defence essay summarising findings focused on improving the generalisability of PAD algorithms.