iBeta Confers Level 2 Presentation Attack Detection Compliance on Iris ID’s Newest iA FacePAD Algorithm
Iris ID’s iA FacePAD algorithm v2.5.3 has successfully achieved Level 2 Presentation Attack Detection (PAD) compliance. Testing was conducted by iBeta Quality Assurance using Iris ID’s exclusive, iBAR 600E device in conjunction with the iBAR 600E CS REST API demo application.
iBeta’s PAD testing, conducted in accordance with ISO/IEC 30107-3 standards, is a rigorous assessment for evaluating biometric countermeasures against presentation attacks that occur at the point of biometric capture.
Key differences between Level 1 and Level 2 PAD compliance include:
- Testing under less predictable capture conditions that better reflect real-world and adversarial scenarios.
- Higher security thresholds, exceeding baseline Level 1 requirements.
- Validation against a wider and more sophisticated range of Presentation Attack Instruments (PAIs).
- Use of higher-quality attack artifacts, including advanced print media and realistic mask presentations.
Level 2 compliance testing involved one bona fide subject presentation alternating with three artifact presentations. This resulted in a total of 150 presentation attack attempts and 50 bona fide presentations conducted over a 24-hour period. During testing, iBeta was unable to obtain a liveness classification for a total of 750 attack attempts. The attack presentation classification error rate (APCER) was 0%.
“Iris ID is strengthening its commitment to defending ‘One Trusted Identity,’” said Mohammed Murad, chief revenue officer, Iris ID. “Our rapid progression from Level 1 to Level 2 compliance reflects the dedication and expertise of our engineering team and reinforces our ability to meet today’s market demands while innovating for the future.”
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