Article details

Title: Vulnerabilities at the Sensor Level in Biometric Systems: A Review
Author(s): Stelian Spînu               

Abstract: Biometrics have the potential to provide better security and increased user convenience compared to traditional person recognition methods. However, biometric systems are vulnerable to attacks that can compromise their security. In this article, a classification of the attacks at the biometric sensor level is proposed, taking into consideration the biometric trait attributes. The attacks at the user interface level are described and common spoofing techniques against fingerprint, face, and iris recognition systems are presented. Countermeasures, which discriminate between live biometric traits and spoof artifacts, are also summarized.

Keywords: person recognition, biometrics, security, presentation attacks, spoofing, spoof detection


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