Detection of Print-based Spoofing Attacks

Description:

This technology offers a sophisticated method for detecting spoofing attempts in biometric security systems, specifically targeting iris print-based attacks. By analyzing eye movements and comparing them to expected natural patterns, the system can identify discrepancies indicative of a print attack. This method leverages the inherent differences between a real human iris and a printed one, utilizing eye tracking mechanisms present in contemporary iris scanners.

Key Advantages:

• Enhanced security against iris print spoofing attacks.
• Utilizes existing iris scanner infrastructure with an additional layer of verification.
• Non-invasive and quick detection process.
• Based on natural eye movement, making it difficult for attackers to replicate.

Problems Solved:

• Increases resilience of biometric security systems against spoofing.
• Addresses the vulnerability of iris recognition systems to printed iris attacks.
• Reduces the potential for unauthorized access through biometric spoofing.

Market Applications:

• Biometric security systems for access control in secure facilities.
• Banking and financial services for secure customer authentication.
• Border control and immigration for enhanced identity verification.
• Personal devices requiring high levels of security authentication.